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Paper Citation Record · LEDGER

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 18 inbound Pith citation observations for arXiv:2502.10341.

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

pith.paper-citation-record.v1
2502.10341 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:33:11.518358Z

measured 36 of 36 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:45.470376Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved15
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 57476628-556d-4960-a970-fa0098748a58 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 5

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no resolver link, observed 2026-08-07T18:33:11.429395Z

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source=pdf_text observed=2026-08-07T18:33:11.429395Z digest=sha256:deaa639d167c0f64aa0840b0bfd55d26557681ac126754a846a37eea6b91b38e

Observation 350c1a09-be16-4467-af4e-e8a49f9a5a77 · outbound

This paper cites 2 OLMo 2 Furious.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation 2 OLMo 2 Furious

Reference 13

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source=pdf_text observed=2026-08-07T18:33:11.481504Z digest=sha256:41aee95808c47b2ea88882de152b38b37f0fa99ea8eef98eebf59c374ad078d0

Observation ddd150e3-8dc2-4f2c-9983-ebf4277edb86 · outbound

This paper cites Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Reference 18

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Observation 40548412-74b5-430f-9e26-b8ff651ef36d · outbound

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

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 164

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source=pdf_text observed=2026-08-07T18:33:11.488766Z digest=sha256:b24d669013200802e2512f5d7497973c5b20e9811bfee742c7a559e639aedd38

Observation 4e066cac-8b79-4282-bf34-8fda2146aeb4 · outbound

This paper cites AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters

Reference 179

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source=pdf_text observed=2026-08-07T18:33:11.466884Z digest=sha256:5b850f5883aeaac1fdc61ef6d57003dc9e2c150ab73eb58693aecee638001db8

Observation c458ff57-344b-4bda-af96-38de86d1f51a · outbound

This paper cites The Llama 3 Herd of Models.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation The Llama 3 Herd of Models

Reference 183

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source=pdf_text observed=2026-08-07T18:33:11.434440Z digest=sha256:71a9e7c58a361e943f19f8cfa2eee2cb7d85976000b9be522939dc972affc965

Observation b1c1a7d1-4b66-462b-8c94-18c0338dc37a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Evaluating Large Language Models Trained on Code

Reference 373

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source=pdf_text observed=2026-08-07T18:33:11.408309Z digest=sha256:204b05c2c7599e0f4f68d03a07e09fb7a1f2594026c8c83d74e8ec6a53c19be7

Observation efe2871c-3760-4b49-8563-a4a65c08676a · outbound

This paper cites DataComp-LM: In search of the next generation of training sets for language models.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation DataComp-LM: In search of the next generation of training sets for language models

Reference 577

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source=pdf_text observed=2026-08-07T18:33:11.460200Z digest=sha256:2e5c53dbcc1837eb553fb272a8091cc95eee4a20b37b6a98d3a0cabd21247628

Observation bccb8b40-7571-460c-a0f2-cfd7d46edc43 · outbound

This paper cites Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 657

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source=pdf_text observed=2026-08-07T18:33:11.510347Z digest=sha256:2952f12eb707b54fc6ede170dbc0af5ecf4f5ace1ca31fa743c3e2891b9d4fc9

Observation 9e4de4d0-966c-42ec-bc6f-4dc49ebed24f · outbound

This paper cites acl-long.757/.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation acl-long.757/

Reference 757

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no resolver link, observed 2026-08-07T18:33:11.475720Z

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source=pdf_text observed=2026-08-07T18:33:11.475720Z digest=sha256:9a2d6935b0c76647128bdb61b7538f2dc96e358f802b3c5664553c628c9a3641

Observation 7705e261-d2b6-4ad5-853d-de890462f77e · outbound

This paper cites acl-long.840.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation acl-long.840

Reference 840

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source=pdf_text observed=2026-08-07T18:33:11.495151Z digest=sha256:20efcde73f2fcfa50e706e775f49b1ffc8fadf7e039a63f1adb93e2f642eeb2e

Observation 646b4827-2827-46cc-9686-7afd981065b9 · outbound

This paper cites cc/paper_files/paper/2017/file/ 6449f44a102fde848669bdd9eb6b76fa-Paper.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation cc/paper_files/paper/2017/file/ 6449f44a102fde848669bdd9eb6b76fa-Paper

Reference 2017

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verified fuzzy
raw_fallback, observed 2026-08-07T18:33:12.318618Z

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.

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Observation 02fee5e3-baa4-4c40-92e2-4b1cb5dcd8cd · outbound

This paper cites URL https:// aclanthology.org/Q19-1026/.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation URL https:// aclanthology.org/Q19-1026/

Reference 2019

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Observation d726c013-4abe-43f3-8154-1b681ae80423 · outbound

This paper cites cc/paper_files/paper/2020/file/ 1457c0d6bfcb4967418bfb8ac142f64a-Paper.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation cc/paper_files/paper/2020/file/ 1457c0d6bfcb4967418bfb8ac142f64a-Paper

Reference 2020

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no resolver link, observed 2026-08-07T18:33:11.401007Z

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Observation d340a5f6-606a-466f-8f80-8cb13afd8611 · outbound

This paper cites Aioli: A Unified Optimization Framework for Language Model Data Mixing.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 2023

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no resolver link, observed 2026-08-07T18:33:11.418220Z

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source=pdf_text observed=2026-08-07T18:33:11.418220Z digest=sha256:0f84da81bbd1483b8420ab8fea43f7eb5abf38179dc4d11dcc50b40f2505832b

Observation 076bc090-612c-44cc-b2e4-af4914633ba5 · outbound

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

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 2024

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Observation acd2400f-bc05-40c6-a669-d486643331c1 · outbound

This paper cites Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet ¨Ust¨un, and Sara Hooker.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet ¨Ust¨un, and Sara Hooker

Reference 2025

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Observation c146308f-f995-41e4-9b5b-2399c90d482a · outbound

This paper cites Jiachen T.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Jiachen T

Reference 8856

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Pith citing papers

Observation bf7042ef-0fd7-476e-9ec1-0d95314fb403 · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 196

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arxiv_id, observed 2026-05-17T22:58:17.308676Z

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.

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Observation 2b9e93a4-1d47-4b23-a0c8-89052097706c · inbound

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text cites this paper.

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 188

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Observation 1ca51a6e-e0ad-492e-b203-75d00528ab47 · inbound

Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration cites this paper.

Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 2025

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Observation ed42f985-8935-4ca1-b762-082de0ad6ec0 · inbound

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents cites this paper.

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 29

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arxiv_id, observed 2026-05-16T08:07:39.521970Z

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

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Observation eeb0f46f-0610-4c4e-8230-211426663747 · inbound

DoTA-RAG: Dynamic of Thought Aggregation RAG cites this paper.

DoTA-RAG: Dynamic of Thought Aggregation RAG Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 16

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Observation cf8fc6f8-8a3c-484f-8854-57fe1a5ae6f2 · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 62

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Observation 54b28227-abef-4277-ad59-344a68261de0 · inbound

Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content cites this paper.

Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 13

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Observation 5ac3dd65-a5a9-49a1-955c-790fc4f3ba1e · inbound

Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 109

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Observation 029de565-8692-436c-b5ae-74ea460722e9 · inbound

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training cites this paper.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 40

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arxiv_id, observed 2026-05-19T03:37:01.021457Z

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

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Observation 500cc621-014d-4ca1-914c-b7e5bd093270 · inbound

OLMoASR: Open Models and Data for Training Robust Speech Recognition Models cites this paper.

OLMoASR: Open Models and Data for Training Robust Speech Recognition Models Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 44

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Observation 52bffd43-616c-477a-9c8a-28fa50baae4f · inbound

Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining cites this paper.

Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 24

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arxiv_id, observed 2026-05-17T04:49:02.999060Z

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.

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Observation d84218ab-946c-49ee-b1a9-122598bd839a · inbound

A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.

A Human-Centric Framework for Data Attribution in Large Language Models Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 188

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verified exact
arxiv_id, observed 2026-05-16T02:37:10.636128Z

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.

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Observation 2d43acf9-4d53-4f4f-bf7a-2ba183cec965 · inbound

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning cites this paper.

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 25

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 7cb6311e-3d3c-41ae-aa2b-c37f29c1d962 · inbound

GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution cites this paper.

GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 39

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arxiv_id, observed 2026-06-27T22:21:20.777729Z

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

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Observation 243077b1-bf01-409c-87fc-a6784298ff78 · inbound

Hubs or Fringes: Pretraining Data Selection via Web Graph Centrality cites this paper.

Hubs or Fringes: Pretraining Data Selection via Web Graph Centrality Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 7

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arxiv_id, observed 2026-06-27T13:10:56.643064Z

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.

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Observation 5146c13a-49bf-47b6-9467-eb24ea9a120c · inbound

From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations cites this paper.

From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 31

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arxiv_id, observed 2026-07-04T16:09:56.384675Z

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.

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Observation bdf338e8-883d-4aad-b758-748e3ae2c74d · inbound

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures cites this paper.

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 6

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arxiv_id, observed 2026-07-03T16:48:39.461784Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-03T16:44:41.720388Z digest=sha256:56996dcb8b2ceaaed3a4fc7f459074b160b57e90a7e55dcd507866fa49f10da2

Observation ba99a462-f5a6-4a53-b5fd-90fa5969be65 · inbound

CuraWeb: Joint Optimization of Quality, Redundancy, and Diversity for Web-Scale Pretraining Data cites this paper.

CuraWeb: Joint Optimization of Quality, Redundancy, and Diversity for Web-Scale Pretraining Data Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 35

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no resolver link, observed 2026-08-02T09:40:07.292725Z

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source=pdf_text observed=2026-08-02T09:40:07.292725Z digest=sha256:0483733631afc83c2b24698bac600738c9099db7f669c4c5df47b0371c666a94