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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 4 inbound Pith citation observations for arXiv:2506.14111.

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

pith.paper-citation-record.v1
2506.14111 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:48.198898Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:53:10.513788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:47:18.036901Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbf2dd21-4b0a-4586-b119-91ade987c5e9 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Essential-Web v1.0: 24T tokens of organized web data SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.006293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.006293Z digest=sha256:65bf993363cf48ba33b3c3cb2f64fa4d027a8ea0af288f47611a6cf741a9dc5b

Observation 100b8b8d-5249-4afd-adc6-8ca19bfbdaa1 · outbound

This paper cites Anderson and D.R.

Essential-Web v1.0: 24T tokens of organized web data Anderson and D.R

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:52.165395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.055226Z digest=sha256:33ec5e0f64228a115ae93b2ca5d58f4c823e3d19fd890f18ff8a055f575025f8

Observation 0304e11a-9b12-48d8-9ca2-47d84b465fab · outbound

This paper cites Claude 3.5 Sonnet Model Card Addendum.

Essential-Web v1.0: 24T tokens of organized web data Claude 3.5 Sonnet Model Card Addendum

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:51.988753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.124481Z digest=sha256:2c60369a0fa9772e3b83231ee2a39c88ab5804c8cb06a4368917ad915e1535d2

Observation a7c90f96-cebf-48a7-badc-0e7119573cee · outbound

This paper cites Automatic Evaluation of Healthcare LLMs Beyond Question-Answering.

Essential-Web v1.0: 24T tokens of organized web data Automatic Evaluation of Healthcare LLMs Beyond Question-Answering

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.178158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.178158Z digest=sha256:328b6e3149ccbbb2e6e109c26cea3443462850231fae9208cb81360ca51182a9

Observation ce144191-5a91-4d8c-b132-a30c5331d179 · outbound

This paper cites Program Synthesis with Large Language Models.

Essential-Web v1.0: 24T tokens of organized web data Program Synthesis with Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.221244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.221244Z digest=sha256:262329a460be6ba656c9b5318b1a19de6c7c41333c930761852620e2212fd897

Observation e0113853-ea01-463d-bd97-002ba44d32fe · outbound

This paper cites Explaining neural scaling laws.

Essential-Web v1.0: 24T tokens of organized web data Explaining neural scaling laws

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.275643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.275643Z digest=sha256:cd80c91715de4bbfc11b00cdd2da7b6a2917e92a9f4eeec882dec65d500332b0

Observation 0c06fb48-1145-43d3-986e-afedd3866e82 · outbound

This paper cites Qwen Technical Report.

Essential-Web v1.0: 24T tokens of organized web data Qwen Technical Report

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.342424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.342424Z digest=sha256:5bdf1af95c4b4462d8ac5b7e827ccf2d901ee9146ba9858da46d6424787ee587

Observation c3aae6db-5abd-4fd5-bb29-2d6556fcb4b6 · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Essential-Web v1.0: 24T tokens of organized web data xLSTM: Extended Long Short-Term Memory

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.387036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.387036Z digest=sha256:c78bf1959da02a39edede6845b6436856b792854493345b368d8acfc21bb6d50

Observation 718c4a17-0da7-4fae-b9fb-2d67979eceb6 · outbound

This paper cites Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl.

Essential-Web v1.0: 24T tokens of organized web data Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:51.814251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.470699Z digest=sha256:a1ee9b87b859f1dd7ae3294418d02ac8f9a7293c73093113277a489b6057f069

Observation b5f2efe5-d29c-4936-a061-627323149475 · outbound

This paper cites Enriching Word Vectors with Subword Information.

Essential-Web v1.0: 24T tokens of organized web data Enriching Word Vectors with Subword Information

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.550588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.550588Z digest=sha256:1bb1b5eadc290c6420879cad0910c0361395068596ce170e6cebb52a3a2fcaf8

Observation 3c397d13-d3b5-4f3a-8e49-f40a1d2a2955 · outbound

This paper cites an unresolved cited work.

Essential-Web v1.0: 24T tokens of organized web data Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-07T00:24:43.642611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.642611Z digest=sha256:b3b01e0e61b4c53bce4a818a0ee0a878e8b295ab8c0cf963f32742efb69d03fb

Observation e955731b-710c-47c9-8375-f8865cbf5b17 · outbound

This paper cites A coefficient of agreement for nominal scales.

Essential-Web v1.0: 24T tokens of organized web data A coefficient of agreement for nominal scales

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:51.550152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.711336Z digest=sha256:0b59ad8b38195683f032c23a98bb6fe03899df00c6d6f0ceb285f25103f64fdd

Observation c7879591-29f8-4cc8-8ec1-ce8e8a57ce03 · outbound

This paper cites xxhash, 2025.

Essential-Web v1.0: 24T tokens of organized web data xxhash, 2025

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:50.854441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.762464Z digest=sha256:d391a2dcd7f4dd8840cf10149dbdf530f5a9a6b58d8ba4d863b182a2c612de0d

Observation ac98dd9b-6d7c-44e6-a93e-62a0b4a220a4 · outbound

This paper cites Common Crawl Corpus.

Essential-Web v1.0: 24T tokens of organized web data Common Crawl Corpus

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:50.632815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.859677Z digest=sha256:fe64451ce54ef8e7bf51be4bc9c291f30ab612b1566fdcc337f3d5c7b619a71f

Observation fa2b8482-e5e2-485c-a0f4-d275103d34e5 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Essential-Web v1.0: 24T tokens of organized web data DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.930026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.930026Z digest=sha256:1a725e959f09fd0b94dc45301491aef66c06dfaad7d8fef81009e7169ceabaa6

Observation 267671f5-c34b-4941-aec3-a5eec864aac6 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Essential-Web v1.0: 24T tokens of organized web data DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:43.992953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:43.992953Z digest=sha256:f1dc4c2c067877fdcc5f233a845a153887718a25ee8d4bf2eb815e9fc76b19da

Observation 044fce69-09e3-4469-8434-9eb4eb4e2482 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Essential-Web v1.0: 24T tokens of organized web data DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.037457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.037457Z digest=sha256:ef35f2842d93209e6cd413a5e69a53a9b1672e2e17c09597d4865ad2feebad47

Observation c5a10f1d-a618-428a-9040-6f799252ce15 · outbound

This paper cites DeepSeek-V3 Technical Report.

Essential-Web v1.0: 24T tokens of organized web data DeepSeek-V3 Technical Report

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.093317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.093317Z digest=sha256:891fa1b1882817dcc5cf4d9cd27af7da23ab81336a5a21c0578f559429df7d60

Observation 41ece65a-50e1-4c22-aa42-663b5270256b · outbound

This paper cites High agreement but low kappa: I.

Essential-Web v1.0: 24T tokens of organized web data High agreement but low kappa: I

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:50.423491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:44.179011Z digest=sha256:7d287d8fd0823262dae18202680be4ce4d23c1d3c37babb0e2259b27955ed8c7

Observation 0e16b9c4-e297-40bf-9072-3d5c2d0a88fd · outbound

This paper cites TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet.

Essential-Web v1.0: 24T tokens of organized web data TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:24:48.866089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:44.277864Z digest=sha256:06678a6e0767b0b8a94c8a16a35132cd7a7a2681142ee764bc7fb7716a0e1f1d

Observation b15b8b02-9c61-4659-9b4a-62ca475ac365 · outbound

This paper cites The language model evaluation harness, 07 2024.

Essential-Web v1.0: 24T tokens of organized web data The language model evaluation harness, 07 2024

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.367712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.367712Z digest=sha256:47fe02f8481788fd60026a3932ad2f654f28831db32ed820601fad872df2c9cf

Observation 439a2716-54ae-423b-9fd5-97c9fd3eb242 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Essential-Web v1.0: 24T tokens of organized web data Gemma 2: Improving Open Language Models at a Practical Size

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.446581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.446581Z digest=sha256:e74e69cf9127a17f67fb45d97d169bbcbc8c244397d9ef3a878321e2c8cec449

Observation 5c051f5f-5bbb-45bc-bfe0-dbb96a14a4cb · outbound

This paper cites Gemma 3 Technical Report.

Essential-Web v1.0: 24T tokens of organized web data Gemma 3 Technical Report

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.525558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.525558Z digest=sha256:22440ab3576be2ab0c9a6d06bafb41a814cbc11f0273307e76c56418842b2131

Observation 3f7bef23-e9e6-477c-be79-31079b2d5844 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Essential-Web v1.0: 24T tokens of organized web data Measuring Massive Multitask Language Understanding

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.606562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.606562Z digest=sha256:bbbd16f3e107b44cd22265e6501ab970151d12439b5967347f4713e482145275

Observation 797f30f7-3890-4b9e-aae1-bf3a1911c5fd · outbound

This paper cites An empirical analysis of compute-optimal large language model training.

Essential-Web v1.0: 24T tokens of organized web data An empirical analysis of compute-optimal large language model training

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:50.249260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:44.646210Z digest=sha256:8eff4537d421cf3e637d3aa4f51454b9b216062f9e3da4a2b53c5deabf671136

Observation dbd1821b-3b4a-41e2-a215-d4747e1e7276 · outbound

This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Essential-Web v1.0: 24T tokens of organized web data OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.711826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.711826Z digest=sha256:350689ca3c2e4128283b95ce7da9d5329a2f27784cce5a0b9acbf6773029f42c

Observation 1282722f-9f62-4698-ac9d-8054127b5827 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Essential-Web v1.0: 24T tokens of organized web data Qwen2.5-Coder Technical Report

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.772548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.772548Z digest=sha256:78e070c33fa8f92e2e0782ca7eb19c5a3f51c8fe3a784c8952854fff41077473

Observation 2d50ae0d-a095-4ce6-b554-2936ebea80e4 · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

Essential-Web v1.0: 24T tokens of organized web data What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.840277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.840277Z digest=sha256:188799b824d7a5feb685e64e1a7ce4753d14b12a01e9db0d0f90a4a928b28d7a

Observation 81d83b3a-94ec-4440-8d7c-869e7b07ecf1 · outbound

This paper cites P ub M ed QA : A dataset for biomedical research question answering.

Essential-Web v1.0: 24T tokens of organized web data P ub M ed QA : A dataset for biomedical research question answering

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.914740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.914740Z digest=sha256:470988e67c6caa833994e3d20c2469691befdcbbd1bff8729f5025cfae1129f7

Observation 6e9af4b8-08da-4d8f-a2b2-49db18876267 · outbound

This paper cites Scaling Laws for Neural Language Models.

Essential-Web v1.0: 24T tokens of organized web data Scaling Laws for Neural Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:44.983417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:44.983417Z digest=sha256:77cf169f8115a3854eccc46c5ee72405d511298f92b37b2e17317c3a7060e1ea

Observation ed56feea-08d0-4809-8bb9-d413e49cc7eb · outbound

This paper cites Justification for the use of cohen’s kappa statistic in experimental studies of nlp and text mining.

Essential-Web v1.0: 24T tokens of organized web data Justification for the use of cohen’s kappa statistic in experimental studies of nlp and text mining

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:50.093890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.066602Z digest=sha256:df49760765b3851f30986fa36712c27dfd61967e91725728717d9b25954010ce

Observation 26fdf691-eea6-45f1-bb95-bfb22480a147 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Essential-Web v1.0: 24T tokens of organized web data Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:45.137228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:45.137228Z digest=sha256:56f035349e13a5ed4048628ee3d3a342d5b04d7772770edb3e024a1ddbbf4377

Observation ea194d4d-5674-42a4-ab5e-0c461ca7daa8 · outbound

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

Essential-Web v1.0: 24T tokens of organized web data DataComp-LM: In search of the next generation of training sets for language models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:45.200550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:45.200550Z digest=sha256:098eae12da7a7d5cc5421f25f68d2dfdf5f70279c4885fdbe738d40b62c22eee

Observation 4bba9f21-7284-434e-9af4-2ed79294735c · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Essential-Web v1.0: 24T tokens of organized web data Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:45.298601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:45.298601Z digest=sha256:faccf0b95ef8a74f8c60dbeb8bd71e0f455b3248f3c98283150ee5a5da3316f1

Observation c336aaab-3116-4376-a2dd-2f3984afcc3c · outbound

This paper cites Muon is Scalable for LLM Training.

Essential-Web v1.0: 24T tokens of organized web data Muon is Scalable for LLM Training

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:45.367967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:45.367967Z digest=sha256:57fb6beac38abc7d55726128a4dfe2e7a989877487c3130ba901cbd722235827

Observation 4a4890a0-09f6-49b7-94a3-a9d56b7e99c9 · outbound

This paper cites The Llama 3 Herd of Models.

Essential-Web v1.0: 24T tokens of organized web data The Llama 3 Herd of Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:45.457924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:45.457924Z digest=sha256:4e292cf43197cc15e63c2d40befb2db877a7c1e6ed8df46b12a6e8bd98944b50

Observation e1a0941e-1a6c-4ef3-a8a8-079e0ab8685c · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Essential-Web v1.0: 24T tokens of organized web data StarCoder 2 and The Stack v2: The Next Generation

Reference 37

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unresolved
no resolver link, observed 2026-08-07T00:24:45.515723Z

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source=arxiv_source observed=2026-08-07T00:24:45.515723Z digest=sha256:7d4aaa6744a9f6418eaaa53389a70eef133cd0f0c2aff09f09a12f01b713a8be

Observation 131b6195-9ff3-4cff-b826-02ec42827a6c · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, April 2025.

Essential-Web v1.0: 24T tokens of organized web data The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, April 2025

Reference 38

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.603174Z digest=sha256:b672c5ef73326fa74da311b40baf7c92e14373d7f6be1b92d5ce04b06b969649

Observation 359e2ad5-0a17-4b4c-af23-d4307bbce1c3 · outbound

This paper cites Free decimal correspondence.

Essential-Web v1.0: 24T tokens of organized web data Free decimal correspondence

Reference 39

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raw_fallback, observed 2026-08-07T00:24:49.715675Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.680665Z digest=sha256:0d9648eabcce91b12d0fe132509d70eab9ef584786e1c94660f1952ec687e82a

Observation 06a33f81-1812-42bb-b6c6-e0669b644d1a · outbound

This paper cites GPT-4o System Card.

Essential-Web v1.0: 24T tokens of organized web data GPT-4o System Card

Reference 40

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source=arxiv_source observed=2026-08-07T00:24:45.785249Z digest=sha256:c7d4b7c3a820bb9704b2dc255cdce54d098985481119723e270f6b9cef93e174

Observation 5f4ed0ec-cedb-4ec8-8fd7-58c69a908c1f · outbound

This paper cites Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering.

Essential-Web v1.0: 24T tokens of organized web data Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 41

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raw_fallback, observed 2026-08-07T00:24:49.519484Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.876198Z digest=sha256:2babff9aaca714ea7cf4be7161a4549b9623c634765f0c91febeacb941505c95

Observation f87005dc-6eb3-4ebb-afb3-da8c7a41f397 · outbound

This paper cites OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.

Essential-Web v1.0: 24T tokens of organized web data OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Reference 42

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source=arxiv_source observed=2026-08-07T00:24:45.960470Z digest=sha256:234f8bf1a2d595338f57979b3a5f81ada773c1e588871f5da828b80e17941e81

Observation 54d6ee3a-6923-44f3-8827-93f7210d173f · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Essential-Web v1.0: 24T tokens of organized web data The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 43

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source=arxiv_source observed=2026-08-07T00:24:46.051496Z digest=sha256:0535a814800162b9f000f39f4d6bc01c2be7cbe695acbbc2d6640122a0cae9ec

Observation 294e34f8-21fb-4e8b-a910-a33a5e1cf8ec · outbound

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

Essential-Web v1.0: 24T tokens of organized web data The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 44

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source=arxiv_source observed=2026-08-07T00:24:46.139204Z digest=sha256:de1261ec5cfca351a2ce8da0deedcd1ea7c579b3e487138e0174a3dccfa96b04

Observation 6ab124d1-bf08-4cfd-86df-b79c62c7391b · outbound

This paper cites Qwen2.5 Technical Report.

Essential-Web v1.0: 24T tokens of organized web data Qwen2.5 Technical Report

Reference 45

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source=arxiv_source observed=2026-08-07T00:24:46.256147Z digest=sha256:0ee9a97a1dd422300cf59fdd5b02c708667acaa36a3eafeaabeca8c502c3c33d

Observation 5d787ecb-c707-45ea-88bd-932666f6a5e4 · outbound

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

Essential-Web v1.0: 24T tokens of organized web data Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 46

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source=arxiv_source observed=2026-08-07T00:24:46.321986Z digest=sha256:9651c70ad94a2cc6ac02f6809abfaa3f1d31734bebb6795b72fd0e1b3a09bf7c

Observation 6b31c8fe-451c-4326-8d09-134789be9dca · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Essential-Web v1.0: 24T tokens of organized web data Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 47

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source=arxiv_source observed=2026-08-07T00:24:46.408244Z digest=sha256:708c6e2fc5c4f472c9104f98f35a4e8760ec01acfd71d0cefeaedf75ea6148b9

Observation 0a8c05d0-1f69-4bcd-a7d6-d907d4d4c393 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Essential-Web v1.0: 24T tokens of organized web data DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 48

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no resolver link, observed 2026-08-07T00:24:46.478337Z

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source=arxiv_source observed=2026-08-07T00:24:46.478337Z digest=sha256:23bd0a57a2ab3a4ebf6c9da03d0c255426c48177a2dcf07b766ce3a725845abc

Observation 084effe9-d473-4cb3-a801-0e8d4de400f8 · outbound

This paper cites Scaling Laws for Linear Complexity Language Models.

Essential-Web v1.0: 24T tokens of organized web data Scaling Laws for Linear Complexity Language Models

Reference 49

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source=arxiv_source observed=2026-08-07T00:24:46.594918Z digest=sha256:dcf33e7718efaa507ec752a683396fce023cf3266baa9cf681b9380df091191d

Observation 5099288e-15c6-4d6f-bd18-e7e5be192c45 · outbound

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

Essential-Web v1.0: 24T tokens of organized web data SlimPajama-DC: Understanding Data Combinations for LLM Training

Reference 50

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source=arxiv_source observed=2026-08-07T00:24:46.687157Z digest=sha256:7a84aed6b84fdd376b5391333e4fc559183db152ea601e13646f4ea663a5a403

Observation 76463205-ba45-4647-a386-41f30e0d104f · outbound

This paper cites Large Language Models Encode Clinical Knowledge.

Essential-Web v1.0: 24T tokens of organized web data Large Language Models Encode Clinical Knowledge

Reference 51

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source=arxiv_source observed=2026-08-07T00:24:46.754327Z digest=sha256:2c9888d2e36d6541bd86b73139fd6a45d9a85e08763fdb932cd7f2d64a888493

Observation c544393c-4aa6-4ab5-8fa6-30f90d333d8f · outbound

This paper cites Learning by Distilling Context.

Essential-Web v1.0: 24T tokens of organized web data Learning by Distilling Context

Reference 52

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source=arxiv_source observed=2026-08-07T00:24:46.861099Z digest=sha256:4e386844ff8db9aba51afe8363621ddb4e2b94c8c3f3d618991492daa12fd32b

Observation 6aa47a73-a0c7-4c9b-a029-3e582cb994f0 · outbound

This paper cites Software Heritage Archive.

Essential-Web v1.0: 24T tokens of organized web data Software Heritage Archive

Reference 53

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raw_fallback, observed 2026-08-07T00:24:49.307263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:46.973042Z digest=sha256:edd730140b891fdd5ba0cfbff9dd020b407f0844ad69334d94534c87825f852d

Observation 6382c562-ed64-4f3f-acb5-e08a3756855a · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Essential-Web v1.0: 24T tokens of organized web data Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 54

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source=arxiv_source observed=2026-08-07T00:24:47.084966Z digest=sha256:a415d4370f69c4aff09ef353b132390ff35a07ed59d2eb2ed502415a5328f884

Observation 061e9dd0-0aba-4d73-9ffc-af81e7a6bfa7 · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.

Essential-Web v1.0: 24T tokens of organized web data Beyond neural scaling laws: beating power law scaling via data pruning

Reference 55

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no resolver link, observed 2026-08-07T00:24:47.187123Z

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source=arxiv_source observed=2026-08-07T00:24:47.187123Z digest=sha256:41a1f6915d865b02606584f9eda82ba3dd6565037bed4c2dd5fdb88a98926831

Observation a1984adb-b1b0-4143-ad67-f8f9b40d8baf · outbound

This paper cites Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset.

Essential-Web v1.0: 24T tokens of organized web data Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset

Reference 56

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source=arxiv_source observed=2026-08-07T00:24:47.275435Z digest=sha256:376171ac89915a69073c9ca91b373be4284f6e4a7e74638ad19c42a456583fd6

Observation 4e579390-17ea-4029-8e6c-467cd69e76a6 · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

Essential-Web v1.0: 24T tokens of organized web data Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 57

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source=arxiv_source observed=2026-08-07T00:24:47.353848Z digest=sha256:469ae3e69aeb94738d649663aa9d03b2d4338e1579cbf9651f294634198647bd

Observation d44c38ab-e9a2-4485-83e7-1143a21dab3f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Essential-Web v1.0: 24T tokens of organized web data LLaMA: Open and Efficient Foundation Language Models

Reference 58

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source=arxiv_source observed=2026-08-07T00:24:47.408996Z digest=sha256:9675e5e7cddb025d19724f7290214b26942a2d58b8caed7d5dabd08c2d16866b

Observation 7247ad2b-7992-444f-9143-a3009ee0f4f8 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Essential-Web v1.0: 24T tokens of organized web data Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

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source=arxiv_source observed=2026-08-07T00:24:47.514364Z digest=sha256:802a81cbe3ff476cee49dab53dbad8f7a6750a7364a1cc986af9f681755e3572

Observation 566ef656-7006-4020-8388-65edc1ea2007 · outbound

This paper cites RedPajama: an Open Dataset for Training Large Language Models.

Essential-Web v1.0: 24T tokens of organized web data RedPajama: an Open Dataset for Training Large Language Models

Reference 60

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source=arxiv_source observed=2026-08-07T00:24:47.623955Z digest=sha256:7409e408054f4ab3bbdd40bb0a9311d91ac644ac68d9f581101109e097d22acb

Observation db3495fa-d306-426e-9e90-ce76ab3d000c · outbound

This paper cites an unresolved cited work.

Essential-Web v1.0: 24T tokens of organized web data Unresolved cited work

Reference 61

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T00:24:47.731636Z digest=sha256:ba93729f857ca6366116582b7533183a162d7b49b993a2881aa873e572ff2157

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

This paper cites Organize the Web: Constructing Domains Enhances Pre-Training Data Curation.

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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source=arxiv_source observed=2026-08-07T00:24:47.820795Z digest=sha256:20db71ab14e5d19ec1fde3a7f6700c2cfe9d79674c0059f8fce516e05d774782

Observation 47f16f26-2e29-4f7d-982d-e94feabce806 · outbound

This paper cites Qwen2 Technical Report.

Essential-Web v1.0: 24T tokens of organized web data Qwen2 Technical Report

Reference 63

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source=arxiv_source observed=2026-08-07T00:24:47.906805Z digest=sha256:4281f1d36a2e4bf1b40e657f193d99b822562248b8b52a342a7451e74d87c548

Observation 2f58b06b-4f34-48a7-89a6-3dcc25383bf6 · outbound

This paper cites Qwen3 Technical Report.

Essential-Web v1.0: 24T tokens of organized web data Qwen3 Technical Report

Reference 64

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source=arxiv_source observed=2026-08-07T00:24:47.991917Z digest=sha256:20e83bbf78a0ba1e91196d22637de84aaad41a05d49d8d5d13c691f0023b28b0

Observation 17a9b6b6-ba5a-4006-be0a-dcdb6961f148 · outbound

This paper cites Naturalreasoning: Reasoning in the wild with 2.8m challenging questions, 2025.

Essential-Web v1.0: 24T tokens of organized web data Naturalreasoning: Reasoning in the wild with 2.8m challenging questions, 2025

Reference 65

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source=arxiv_source observed=2026-08-07T00:24:48.039500Z digest=sha256:ab9ffe5f05efcff1d5ed467e9fa9f02b100f3021f93a1dd65413dfda628398a8

Observation 95b395fa-743b-45ff-bae5-59e228e34505 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Essential-Web v1.0: 24T tokens of organized web data SGLang: Efficient Execution of Structured Language Model Programs

Reference 66

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no resolver link, observed 2026-08-07T00:24:48.118608Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:48.118608Z digest=sha256:86796039c650d55aa15f12445887bcb7fad5450ecedba192d2f361a7761214d0

Observation 5bd8c1fb-4044-4c16-ad19-8d19fcb7255b · outbound

This paper cites MegaMath: Pushing the Limits of Open Math Corpora.

Essential-Web v1.0: 24T tokens of organized web data MegaMath: Pushing the Limits of Open Math Corpora

Reference 67

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source=arxiv_source observed=2026-08-07T00:24:48.198898Z digest=sha256:fb17a886bbc1ba9ed2c7dbf5724b78de93a4f26f899909891db7c8d23d7dd68d

Pith citing papers

Observation b59f22d2-8ee8-4b60-bd03-27d7a3f533f9 · inbound

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

Language Models Improve When Pretraining Data Matches Target Tasks Essential-Web v1.0: 24T tokens of organized web data

Reference 46

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no resolver link, observed 2026-08-06T16:53:10.513788Z

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source=arxiv_source observed=2026-08-06T16:53:10.513788Z digest=sha256:a08b7b06a4723e1f2a526224ad6fa6a21fde1dc95fc975b6048697b6e65101ac

Observation de065f7c-c4c7-4986-92ad-bb9915218247 · inbound

Scaling Laws for Mixture Pretraining Under Data Constraints cites this paper.

Scaling Laws for Mixture Pretraining Under Data Constraints Essential-Web v1.0: 24T tokens of organized web data

Reference 16

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arxiv_id, observed 2026-05-14T21:48:00.985163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-14T21:44:31.429223Z digest=sha256:7c12be0c48e9fc9dbcc1c0fc461a3e8bcc0dfbbadf523a7ac30c2b8d3eeeb964

Observation 61567911-6ca2-4b56-81d0-c6b9e340f525 · inbound

Scaling Laws for Mixture Pretraining Under Data Constraints cites this paper.

Scaling Laws for Mixture Pretraining Under Data Constraints Essential-Web v1.0: 24T tokens of organized web data

Reference 10

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arxiv_id, observed 2026-05-19T16:37:39.613418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-19T16:36:30.007014Z digest=sha256:49ccdae014ef208cc4912b42098a24dbb67469726f60ed53f700fb4ebb26d85d

Observation c112aa6a-2b9d-4385-8986-d3e1b3d5df2c · inbound

Unlocking Latent Value: Taxonomy-Guided Recovery of High-Performing Data from Low-Tier Web Corpora cites this paper.

Unlocking Latent Value: Taxonomy-Guided Recovery of High-Performing Data from Low-Tier Web Corpora Essential-Web v1.0: 24T tokens of organized web data

Reference 1

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arxiv_id, observed 2026-07-02T17:47:18.038509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T21:52:05.238295Z digest=sha256:13019167b48054cf8a10589fbf8a4732706fec4343622e27998321d99a4dedb8