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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.055226Z digest=sha256:6de45117f9fdb2c6f1c1bdd137c64782bec809ae9e9bd5cdb8c230db7b6151df

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.124481Z digest=sha256:3d4c388e5d704cc2df0af96776bd83457c5e1f7ab5e1f8f95492b32124139a6a

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:c6984b0a0af7ebd05589f600185771d79225ec43451641506c1b35e92bf0a79a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.470699Z digest=sha256:ca04d612894c2a3e98602885d2d631a6aec4dc6702d9bedee0edc61245f58057

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:fc5e61698fa1be4bb72802c31a4ddea507b1dbdabdbcf88b034c6354dcf7c8e5

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.711336Z digest=sha256:777dbea4598b6627ba8995433e6a21d082d1ca8a8ca07b4cc1b25c4e8fcfa2d2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.762464Z digest=sha256:ccb1eabf4123e1885e75fa9aa934f353e0e7a2ece308cf0b6793919da8c9f883

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:43.859677Z digest=sha256:c35dd830b09208ef459c7e26cc2696edf0bd2c161b700bb33c5644e17ba0f984

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:44.179011Z digest=sha256:31adf3723352b5871df56d9cc149f8b48b55309b8605b11104f981e60b750f12

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:44.277864Z digest=sha256:6c8d05a4052fda90b766b17ba2e305e8fc680e1ebc19b883b018cd9d20f13f36

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:44.646210Z digest=sha256:81f765ba22d3097c20f5a5db212a6ae5c170c5d61865b110bbb73d492184f083

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=sha256:17b5e9519ff0379f82c8c8de394426c5a63b4542085eea0f595f069291a41cb9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.066602Z digest=sha256:4c4653e8045151c03a29ded5b52980dd267b4d22e46c453f0f9a086a2130f154

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=sha256:2fe706f166576f425556a22f0d2547975a1573f597d2481dfbb432ba73489259

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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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.603174Z digest=sha256:bebc3641f1a5085716bf8be6e10d8f5da9be04046861bdd4f74c29fd28ecae9d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.680665Z digest=sha256:86b19e83591b18b14c7ae29f7de00954f6e7af6646b951f73620347c2cd2feef

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:45.876198Z digest=sha256:e1e7ab7628730dd1b6db91801564f2200fd1fcaa7beadeff15805b68fee685de

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:d262c6fb3f7ae5a4266cb1889c0244c6d6a04a327b0eb8ac10096dea50663368

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:ee3bb93e7d3f6756320acd4ff5dfbb300fc88a4349fcd30e72c753963dd0be22

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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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:ea21923156b0b74f6a32379ff52b4e6118eab51500559997a38bb1f8a602aa8c

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=sha256:6265d3ac6127de27b993f100fdeafefa34d51a386ef8bdcae692de9d0b70e708

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=sha256:97b657aecb87c8299014f8dea1e622de83aa9565f6a17f77addbe90981a4e4c5

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=sha256:40d5af05f37f1c8f8b067f2856d2841b84dfc0cd29bbc5633054c655055a5be0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:46.973042Z digest=sha256:14bc8dee396d14bc31156203a99bc671c16900e7841be4205c8490bdc31e67fd

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=sha256:04dc49b53fafa202d45e96607bd2c645cc41a8e8b942a7d828e667898c0f1b14

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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source=arxiv_source observed=2026-08-07T00:24:47.187123Z digest=sha256:6c5f230b65cb80bf49d3d72a94d9d49f1df50950daae4aab25730543cb9aaea0

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:f2f02a879ceee09af9b9a886c6f6dd5b72a20af5eec8467588ad2f214b1e1946

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T00:24:47.731636Z digest=sha256:fa53d001022fe4baad543187851bbd698d0db73b3f5a1c1293ab063cbb112209

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=sha256:015e005f843e831e5a6e6488d05ab366cc57ec76c62ee9c8a840138e01394305

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:a7175f163fbee38324740b8135a36af78fe972492bda170b86d470808472faa6

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:e17626bb7833f8cd0f59fa1aea2da318cc81d73bae06d5b089476172570630d4

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:d325f56429aca3e47b178df53760d9d34a7f729f28e8310e6fbfc97f175b71b6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-14T21:44:31.429223Z digest=sha256:4133bab298cbf0ea5e1872d51a34315b9f66834f5b242a5beb185e8bd604802c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-19T16:36:30.007014Z digest=sha256:9bc82c4d4e51b813bfbd7ed0802ed1f4dd9b4d81cc267d836e6875f8cc02b84f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T21:52:05.238295Z digest=sha256:1792a1ce4df5220d3297718a87e51c2a7929574b3714a7ea87bb695cf64a6588