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Paper Citation Record · LEDGER

Scaling Particle Collision Data Analysis

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2412.00129.

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

pith.paper-citation-record.v1
2412.00129 v2

Coverage vector

measured 50 of 50 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T10:34:25.121435Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T16:05:57.505355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T16:06:34.891052Z

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation f8617001-7547-487b-a357-b3ad372dc912 · outbound

This paper cites The C Users Journal archive 12, 23–38 (1994).

Scaling Particle Collision Data Analysis The C Users Journal archive 12, 23–38 (1994)

Reference 1

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Observation 95f6d622-2e90-4c58-be1d-f5fda5f4f092 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Scaling Particle Collision Data Analysis On the Opportunities and Risks of Foundation Models

Reference 2

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Observation 0d6ca72c-5071-46ad-8509-1d76075d0c50 · outbound

This paper cites Scaling Laws for Neural Language Models.

Scaling Particle Collision Data Analysis Scaling Laws for Neural Language Models

Reference 4

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Observation d6780597-3627-48ce-abfb-2dbe5522b08f · outbound

This paper cites OpenAI blog 1(8), 9 (2019).

Scaling Particle Collision Data Analysis OpenAI blog 1(8), 9 (2019)

Reference 5

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Observation 03357396-a275-448c-bfb5-6f1f754b4424 · outbound

This paper cites Language Models are Few-Shot Learners.

Scaling Particle Collision Data Analysis Language Models are Few-Shot Learners

Reference 6

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Observation 1b861f75-3f93-4c3c-8e4d-95eae2ee6c17 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scaling Particle Collision Data Analysis Training Compute-Optimal Large Language Models

Reference 7

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Observation 6475322a-f4f5-4164-82e5-ee7f8d97200d · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Scaling Particle Collision Data Analysis Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 8

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Observation c5c5128c-8f53-465c-9749-87369238a2d6 · outbound

This paper cites GPT Can Solve Mathematical Problems Without a Calculator.

Scaling Particle Collision Data Analysis GPT Can Solve Mathematical Problems Without a Calculator

Reference 9

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Observation eaf65746-59cf-4518-ac1a-43a757b0879c · outbound

This paper cites Scaling Vision Transformers.

Scaling Particle Collision Data Analysis Scaling Vision Transformers

Reference 10

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Observation 67f93436-1219-4119-8972-64568ff2d8ee · outbound

This paper cites Scalable Diffusion Models with Transformers.

Scaling Particle Collision Data Analysis Scalable Diffusion Models with Transformers

Reference 11

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Observation 3caaf3d7-f45a-434b-9776-3639da0dbfd5 · outbound

This paper cites https://arxiv.org/abs/2010.

Scaling Particle Collision Data Analysis https://arxiv.org/abs/2010

Reference 12

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Observation 69a930b5-4f86-4709-83ab-e38a69cf613a · outbound

This paper cites Towards Neural Scaling Laws on Graphs.

Scaling Particle Collision Data Analysis Towards Neural Scaling Laws on Graphs

Reference 13

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Observation 7c79972f-973d-404a-a374-7b3a8058804e · outbound

This paper cites Scaling laws for single-agent reinforcement learning.

Scaling Particle Collision Data Analysis Scaling laws for single-agent reinforcement learning

Reference 14

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Observation efec4a15-8b1e-4e93-80e0-338dcb02eaa2 · outbound

This paper cites Nature communications 12(1), 5721 (2021).

Scaling Particle Collision Data Analysis Nature communications 12(1), 5721 (2021)

Reference 15

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Observation 21c9f998-f531-41bf-a0e4-0786862d9638 · outbound

This paper cites Learning and Leveraging World Models in Visual Representation Learning.

Scaling Particle Collision Data Analysis Learning and Leveraging World Models in Visual Representation Learning

Reference 16

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Observation 36ca9254-cbfc-4f4b-899d-6ec6a81aae7b · outbound

This paper cites The Llama 3 Herd of Models.

Scaling Particle Collision Data Analysis The Llama 3 Herd of Models

Reference 17

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Observation 9e84c82c-4e9d-402f-a06c-4b2862cfb4d9 · outbound

This paper cites How well do Large Language Models perform in Arithmetic tasks?.

Scaling Particle Collision Data Analysis How well do Large Language Models perform in Arithmetic tasks?

Reference 18

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Observation 6c6e2380-d796-46a9-ac5d-246a334fc6f7 · outbound

This paper cites Transformers Can Do Arithmetic with the Right Embeddings.

Scaling Particle Collision Data Analysis Transformers Can Do Arithmetic with the Right Embeddings

Reference 19

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Observation 3d654a8e-0515-4593-89a6-929dab4ee31c · outbound

This paper cites Nature, 1–3 (2024).

Scaling Particle Collision Data Analysis Nature, 1–3 (2024)

Reference 20

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Observation 13aab3eb-e953-4aa1-b97a-369ff60bfc7d · outbound

This paper cites nature 596(7873), 583–589 (2021).

Scaling Particle Collision Data Analysis nature 596(7873), 583–589 (2021)

Reference 21

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Observation 09e187a7-eec4-425b-aaad-651b7500009c · outbound

This paper cites Incentivize: Scale-first view of Large Language Models.

Scaling Particle Collision Data Analysis Incentivize: Scale-first view of Large Language Models

Reference 22

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Observation 99bb2d51-a100-4147-9e26-398536108f32 · outbound

This paper cites Galactica: A Large Language Model for Science.

Scaling Particle Collision Data Analysis Galactica: A Large Language Model for Science

Reference 23

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Observation 02c13941-5603-4f10-bf30-4037989dbb70 · outbound

This paper cites DARWIN Series: Domain Specific Large Language Models for Natural Science.

Scaling Particle Collision Data Analysis DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 24

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Observation 030fdb28-9ccc-459b-a2db-37f2834ad4e8 · outbound

This paper cites Quantum Many-Body Physics Calculations with Large Language Models.

Scaling Particle Collision Data Analysis Quantum Many-Body Physics Calculations with Large Language Models

Reference 25

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Observation 3015ee1f-bc58-4b0b-b2cf-024ef4ed7e1d · outbound

This paper cites Nature 625(7995), 468–475 (2024).

Scaling Particle Collision Data Analysis Nature 625(7995), 468–475 (2024)

Reference 26

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Observation 8d8267cd-b334-4b81-8a8e-82874371e0ba · outbound

This paper cites UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation.

Scaling Particle Collision Data Analysis UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation

Reference 27

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Observation 69c8ea0e-0e3b-4d91-a878-dba1d358908b · outbound

This paper cites From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples.

Scaling Particle Collision Data Analysis From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples

Reference 28

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Observation ccc0f23f-6d15-4544-963a-cb8ef9260063 · outbound

This paper cites CEPC Conceptual Design Report: Volume 2 - Physics & Detector.

Scaling Particle Collision Data Analysis CEPC Conceptual Design Report: Volume 2 - Physics & Detector

Reference 29

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Observation 2a77b327-c65b-4537-99f5-9cd3650aa07b · outbound

This paper cites The European Physical Journal C-Particles and Fields 12(2), 183– 207 (2000).

Scaling Particle Collision Data Analysis The European Physical Journal C-Particles and Fields 12(2), 183– 207 (2000)

Reference 30

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Observation 33398015-3f7d-4b5f-9e40-914ad257edfb · outbound

This paper cites Physical review letters 80(4), 660 (1998).

Scaling Particle Collision Data Analysis Physical review letters 80(4), 660 (1998)

Reference 31

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Observation 0cd4d109-210d-409d-b6e8-f2719b6d92b2 · outbound

This paper cites Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 417(2-3), 384–390 (1998).

Scaling Particle Collision Data Analysis Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 417(2-3), 384–390 (1998)

Reference 32

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Observation 9bd3b30c-816a-4b40-be5f-9f1680e2f3bf · outbound

This paper cites b-tagging in DELPHI at LEP.

Scaling Particle Collision Data Analysis b-tagging in DELPHI at LEP

Reference 33

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Observation 57b8284e-439c-48f0-b55f-fe59a5e14248 · outbound

This paper cites Journal of Instrumentation 13(5), 05011 (2018).

Scaling Particle Collision Data Analysis Journal of Instrumentation 13(5), 05011 (2018)

Reference 34

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Observation fa0a5cc1-1867-4f9b-9747-e9cfaeb16127 · outbound

This paper cites an unresolved cited work.

Scaling Particle Collision Data Analysis Unresolved cited work

Reference 35

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Observation 7e690baa-27a9-4f17-8d96-696cff690677 · outbound

This paper cites Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC.

Scaling Particle Collision Data Analysis Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC

Reference 36

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source=pdf_text observed=2026-08-12T10:34:25.068361Z digest=sha256:47080e3e05c9c0c5c154600799c25c0b3022ad0ecf5a26d7693ecfd64a9a33c6

Observation f0f5794c-aca2-4bd1-86ed-c24e93269b5b · outbound

This paper cites Physical Review D 94(11), 112002 (2016).

Scaling Particle Collision Data Analysis Physical Review D 94(11), 112002 (2016)

Reference 37

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 22cfc43a-c1c6-41c2-9145-7eb20178d79d · outbound

This paper cites Journal of High Energy Physics 2015(2), 1–16 (2015).

Scaling Particle Collision Data Analysis Journal of High Energy Physics 2015(2), 1–16 (2015)

Reference 38

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Observation a071dcb7-a7ad-48a6-8ca5-8d20071c87d6 · outbound

This paper cites Journal of High Energy Physics 2016(7), 1–32 (2016).

Scaling Particle Collision Data Analysis Journal of High Energy Physics 2016(7), 1–32 (2016)

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-12T10:34:25.607869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 388e920f-a353-4a11-8a5e-4f409b37f434 · outbound

This paper cites Emergent Abilities of Large Language Models.

Scaling Particle Collision Data Analysis Emergent Abilities of Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.082737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.082737Z digest=sha256:3455030e72e5d90bdb012174b5664c89c2951bf2502fed2d872762c540aa589b

Observation 68ebfdd4-a1b9-4994-a3a4-50214a32b2ea · outbound

This paper cites https://arxiv.org/abs/2410.

Scaling Particle Collision Data Analysis https://arxiv.org/abs/2410

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:34:25.597039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:34:25.086417Z digest=sha256:8b01f7fe5b955893fec69de4b7844b15d2e48faf5b28a13f8761b7a37333eea5

Observation 49df426c-bd73-4069-b4bb-c2dbc0d4d061 · outbound

This paper cites https://arxiv.org/abs/2402.

Scaling Particle Collision Data Analysis https://arxiv.org/abs/2402

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:34:25.585997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:34:25.089766Z digest=sha256:b6da757e88a2e4ff9b6a46246daa986109ced660a6f09e693e8eaf7178e0649a

Observation 876b4ea9-2a32-4fdf-b65a-26a5958ca3f3 · outbound

This paper cites MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers.

Scaling Particle Collision Data Analysis MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.093269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.093269Z digest=sha256:7a18c3da097a93625d09b14580ad50a7ce6b53fd98f4e8fbb11dd8e5ad5cf1cf

Observation b3334554-7d80-4443-b3b7-545eb329cb6d · outbound

This paper cites SpaceByte: Towards Deleting Tokenization from Large Language Modeling.

Scaling Particle Collision Data Analysis SpaceByte: Towards Deleting Tokenization from Large Language Modeling

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.096818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.096818Z digest=sha256:0740e5d59ff3c174b6af46515e5840d0ce775e04cefad2a53780207a8c5fb092

Observation 80d2749e-8499-4621-ac44-dadb95b71fe7 · outbound

This paper cites Neurocomputing 568, 127063 (2024) https://doi.org/10.1016/j.neucom.2023.127063.

Scaling Particle Collision Data Analysis Neurocomputing 568, 127063 (2024) https://doi.org/10.1016/j.neucom.2023.127063

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.100728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.100728Z digest=sha256:18030c3189b6aecb265fc473ffd6e982768b27bc6fe371c248d240dc8b9eee55

Observation fa78487e-7960-405e-820c-dd8155ee83db · outbound

This paper cites Particle Transformer for Jet Tagging.

Scaling Particle Collision Data Analysis Particle Transformer for Jet Tagging

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.104021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.104021Z digest=sha256:a97f00c123347a9185467468c3ba3de16fbd17636ed9d92f4ca05a3ac945da39

Observation afb40d52-652d-4228-b8d4-fdbbc10ba1dd · outbound

This paper cites AI Open 1, 57–81 (2020) https://doi.org/10.1016/j.aiopen.2021.01.001.

Scaling Particle Collision Data Analysis AI Open 1, 57–81 (2020) https://doi.org/10.1016/j.aiopen.2021.01.001

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.107541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.107541Z digest=sha256:b645230f4fad29a44421fd2230666431584e7a5a390ee1835700829cfd681351

Observation 54db54b9-99ad-4b1f-bbe6-75e36b2aca70 · outbound

This paper cites Nature Communications 14(1), 35 (2023) https://doi.org/10.

Scaling Particle Collision Data Analysis Nature Communications 14(1), 35 (2023) https://doi.org/10

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:34:25.575056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:34:25.110802Z digest=sha256:d0365d1c113eafcf3c05dfccc67abc4fef0f51862679ab7ea35f385668a76a32

Observation b35f5b56-f8a1-44f2-9320-3e2261c38ba8 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Scaling Particle Collision Data Analysis Neural Machine Translation of Rare Words with Subword Units

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.114130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.114130Z digest=sha256:c5284f754eba923e0ff58b20046f8eb7698b5d3197b24ff873ced61e49de3dad

Observation 42034bff-c8e9-49e3-864b-1f8d56a3797d · outbound

This paper cites ParticleNet: Jet Tagging via Particle Clouds.

Scaling Particle Collision Data Analysis ParticleNet: Jet Tagging via Particle Clouds

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T10:34:25.117729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:25.117729Z digest=sha256:a07f3f93b34db4bb06664aa67f6a46e1116a71816d5edfec13d53c4189cc1322

Observation 0043fb52-ddb9-4071-a5a9-9107b7ca68f7 · outbound

This paper cites Advances in Neural Information Processing Systems (2017) 22.

Scaling Particle Collision Data Analysis Advances in Neural Information Processing Systems (2017) 22

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:34:25.564810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:34:25.121435Z digest=sha256:eaec6cec26b209c4e58601bbefd98b2c17c5f1941f82ef38f0fdc660b9942fa8

Pith citing papers

Observation 43b27f71-aff3-4ae3-9cc0-52e4cdf37286 · inbound

PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning cites this paper.

PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning Scaling Particle Collision Data Analysis

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:06:34.893862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T16:05:57.505355Z digest=sha256:b6901e839cec494d9126054444bde11f74e10e4811dd294064e4a6b829f76fbf