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Paper Citation Record · LEDGER

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

As of 17 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 11 inbound Pith citation observations for arXiv:2512.15867.

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

pith.paper-citation-record.v1
2512.15867 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:47:06.213168Z

measured 77 of 77 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:38:38.929688Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-11T02:27:48.147232Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved66
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ed5926c-0255-48ca-8cc8-86a99873b5d6 · outbound

This paper cites GPT-4 Technical Report.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency GPT-4 Technical Report

Reference 1

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Observation 88979ebd-68f3-4d29-8562-213dd78b8ab8 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2

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Observation 69ab1f51-b1dd-44a0-8db1-3bedb788ac3c · outbound

This paper cites A Survey of Large Language Models.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency A Survey of Large Language Models

Reference 3

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Observation 8a192060-49c2-47a8-83e1-6eb4a1e2c4f9 · outbound

This paper cites A Survey on Multimodal Large Language Models.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency A Survey on Multimodal Large Language Models

Reference 4

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Observation 686b5c06-77e8-4d7e-bf54-91bfcf2bfcd7 · outbound

This paper cites Large Language Models: A Survey.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Large Language Models: A Survey

Reference 5

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Observation 204f8060-2774-415f-beac-f04e742cc96b · outbound

This paper cites Grattafiori, A.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Grattafiori, A

Reference 6

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Observation 3e10969d-50c0-45c1-a2c8-08a8f9268995 · outbound

This paper cites Scaling Laws for Neural Language Models.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Scaling Laws for Neural Language Models

Reference 7

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source=pdf_text observed=2026-08-03T15:46:59.823169Z digest=sha256:87de65c6160f9d765c2e70e34b5ab2697e0a108f91195c0e2647744e27f82d63

Observation 6e55d9bf-8391-407b-8d89-4a21bdb8403a · outbound

This paper cites Training Compute-Optimal Large Language Models.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Training Compute-Optimal Large Language Models

Reference 8

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source=pdf_text observed=2026-08-03T15:46:59.935878Z digest=sha256:4c3844e245baa39ab6c34ad0a59d1d9453096ed81241a69c4f83cf3117f643d2

Observation 0c22c2e7-9b73-46cc-848e-25207bf04026 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 9

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Observation 0af7767a-d1a4-4d72-ba5c-83b063782322 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 10

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Observation 3e3d2c35-ecbb-49ec-946d-585386f0d866 · outbound

This paper cites an unresolved cited work.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Unresolved cited work

Reference 11

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Observation 0cbd3b0e-a322-447b-9e05-a4053385ce79 · outbound

This paper cites an unresolved cited work.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Unresolved cited work

Reference 12

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Observation 0efdf0ae-591f-4a92-b6d0-d2fd17071e46 · outbound

This paper cites From Lagrangians to Events: Computer Tutorial at the MC4BSM-2012 Workshop.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency From Lagrangians to Events: Computer Tutorial at the MC4BSM-2012 Workshop

Reference 13

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Observation 516c372b-f7b0-48df-87f6-abfba09bde54 · outbound

This paper cites Machine Learning and LHC Event Generation.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Machine Learning and LHC Event Generation

Reference 14

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Observation 2f1acfce-bce2-44b2-bf13-ff236f1823b9 · outbound

This paper cites Exploring phase space with Neural Importance Sampling.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Exploring phase space with Neural Importance Sampling

Reference 15

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Observation 11722608-478c-4fa1-9900-96d68f994861 · outbound

This paper cites Event Generation with Normalizing Flows.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Event Generation with Normalizing Flows

Reference 16

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Observation 4d6d1fe6-b586-46e8-997e-18bacc99cfe2 · outbound

This paper cites Modeling hadronization using machine learning.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Modeling hadronization using machine learning

Reference 17

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Observation ca17b2c8-f146-4fc0-b358-722dacabd96a · outbound

This paper cites Towards a data-driven model of hadronization using normalizing flows.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Towards a data-driven model of hadronization using normalizing flows

Reference 18

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Observation 2d4d778f-d11b-42af-9015-7c8b6eaa9d69 · outbound

This paper cites Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting

Reference 19

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Observation 531c3157-764c-4097-8283-d56806484cbe · outbound

This paper cites an unresolved cited work.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Unresolved cited work

Reference 20

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Observation 2f2c5c83-7873-4cc7-912c-b2d0ab8cac0d · outbound

This paper cites Butter et al.,Iterative HOMER with uncertainties,2509.03592.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Butter et al.,Iterative HOMER with uncertainties,2509.03592

Reference 21

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Observation 5be6a367-70a5-424a-afb6-c9aff6d25ea5 · outbound

This paper cites CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation

Reference 22

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Observation 7b9a7cca-8776-4d69-8d5d-685aa989e23d · outbound

This paper cites Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Reference 26

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Observation e3ac5767-8e74-4bee-a996-cb2d9344ddd1 · outbound

This paper cites FPGA-accelerated machine learning inference as a service for particle physics computing.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency FPGA-accelerated machine learning inference as a service for particle physics computing

Reference 27

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Observation 89bfb2fe-384a-4706-9acd-015930db9336 · outbound

This paper cites The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

Reference 28

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Observation 1e070220-d950-42bb-a35b-699d131123e4 · outbound

This paper cites The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics

Reference 29

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Observation 5735bcd4-541f-4b72-a6d0-a0c2d46d72f3 · outbound

This paper cites OmniFold: A Method to Simultaneously Unfold All Observables.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency OmniFold: A Method to Simultaneously Unfold All Observables

Reference 30

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Observation 87b4dcc0-22ac-4afa-b639-6583833577d0 · outbound

This paper cites Invertible Networks or Partons to Detector and Back Again.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Invertible Networks or Partons to Detector and Back Again

Reference 31

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Observation f151feb1-5379-4e21-98f5-a5803a494ee4 · outbound

This paper cites Machine Learning in High Energy Physics Community White Paper.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Machine Learning in High Energy Physics Community White Paper

Reference 32

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Observation c614ca0c-da15-40b4-8501-9765223a9deb · outbound

This paper cites Deep Learning and its Application to LHC Physics.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Deep Learning and its Application to LHC Physics

Reference 33

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Observation de977bbe-4362-4e0e-908e-b1631e783c6f · outbound

This paper cites ParticleNet: Jet Tagging via Particle Clouds.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency ParticleNet: Jet Tagging via Particle Clouds

Reference 34

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Observation 045b5b16-e2da-4273-a96d-4f537d3a1ad7 · outbound

This paper cites Particle Transformer for Jet Tagging.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Particle Transformer for Jet Tagging

Reference 35

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Observation 531604be-ee76-4bd0-9c46-29de83c25027 · outbound

This paper cites Jet Diffusion versus JetGPT -- Modern Networks for the LHC.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Jet Diffusion versus JetGPT -- Modern Networks for the LHC

Reference 36

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Observation 94c23502-3238-4e5e-8bbb-3ed77f1abb6b · outbound

This paper cites OmniJet-$\alpha$: The first cross-task foundation model for particle physics.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 37

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Observation 81b849e4-5b15-4b4c-82a5-4ea9ccfadf41 · outbound

This paper cites Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 38

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Observation 4a3fbd2c-1882-4d87-b1fb-44be2e31f9b1 · outbound

This paper cites Bardhan, R.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Bardhan, R

Reference 39

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Observation 8cf99d94-f052-44f4-9d8a-d4553fd6e000 · outbound

This paper cites Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics

Reference 40

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Observation aa2e96dd-f3cd-4541-ae75-0efa2ebc19a7 · outbound

This paper cites CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics

Reference 41

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Observation 75f129b8-9158-43fd-9ba9-74a34cad9f7b · outbound

This paper cites Bakshi et al.,ArgoLOOM: agentic AI for fundamental physics from quarks to cosmos, 2510.02426.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Bakshi et al.,ArgoLOOM: agentic AI for fundamental physics from quarks to cosmos, 2510.02426

Reference 42

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source=pdf_text observed=2026-08-03T15:47:03.127125Z digest=sha256:8475e613f109ca9f87b88215a13bac392ee44db2d3bd7f67b040f45bf23476c2

Observation a2536ad6-a646-40ca-bcc7-84b84bde60a5 · outbound

This paper cites an unresolved cited work.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-03T15:47:03.220398Z digest=sha256:020cd1adfcffec6447fe0a5631c1777867ddff1d981cad06e528f2ec61a23fa3

Observation 5ab79914-dca9-48f9-9ca1-befadaa828e1 · outbound

This paper cites Roman and J.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Roman and J

Reference 44

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source=pdf_text observed=2026-08-03T15:47:03.370345Z digest=sha256:438ae5b11877901d79b6bbce3965dec7beb32b9e53a186ea7f5c23bfef13b3a9

Observation f727298b-29cf-4407-b3ad-eea0ac73635b · outbound

This paper cites Panek, A.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Panek, A

Reference 45

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source=pdf_text observed=2026-08-03T15:47:03.456339Z digest=sha256:ee11729a2a639beb051cf8f0887f4d34c5fff3fd61f5484056a67195a9eb05ab

Observation a1f6fd19-a54f-447e-babc-eef59b418fe5 · outbound

This paper cites Genesis mission: A national mission to accelerate science through artificial intelligence.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Genesis mission: A national mission to accelerate science through artificial intelligence

Reference 46

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source=pdf_text observed=2026-08-03T15:47:03.551687Z digest=sha256:0c3ded1406fb98872279d96c94e75661745eb88257a65b3174bae0ffb18c8848

Observation dce213f9-933f-41d0-a49c-c1aad44158c8 · outbound

This paper cites Monte carlo tools for beyond the standard model physics.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Monte carlo tools for beyond the standard model physics

Reference 47

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source=pdf_text observed=2026-08-03T15:47:03.701060Z digest=sha256:377d743ab723786b7e0769dafd654a18258793299ae5b272fa8c4ecbb3bf4c8c

Observation 0eb3e107-646d-4884-a559-32d28dbb4d56 · outbound

This paper cites Physics of leptoquarks in precision experiments and at particle colliders.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Physics of leptoquarks in precision experiments and at particle colliders

Reference 48

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source=pdf_text observed=2026-08-03T15:47:03.793685Z digest=sha256:959420bc5ccabc3e420536fe7bdb80e6c49b513ba4e03344a33cf0fa76573a40

Observation 4b010b0b-f81c-4672-9a6d-a8de2af03d34 · outbound

This paper cites FeynRules 2.0 - A complete toolbox for tree-level phenomenology.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency FeynRules 2.0 - A complete toolbox for tree-level phenomenology

Reference 50

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source=pdf_text observed=2026-08-03T15:47:03.887078Z digest=sha256:cdea2e01b204a0373cec793c6ddf29d45b6a5171e327b2c5220d995f0c199f8a

Observation d73406be-5560-4ed1-8838-92eb6dd1f739 · outbound

This paper cites The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Reference 51

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source=pdf_text observed=2026-08-03T15:47:03.978780Z digest=sha256:a5f52e42cd5f16fb3efdd943c345c8888407fc96dd80da0a3c0b5f020bed5b8a

Observation f93a365d-d47e-4e40-9f47-2f171af69867 · outbound

This paper cites A comprehensive guide to the physics and usage of PYTHIA 8.3.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency A comprehensive guide to the physics and usage of PYTHIA 8.3

Reference 52

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source=pdf_text observed=2026-08-03T15:47:04.076412Z digest=sha256:0ecec929b30b7491316b25b33c0a3ea6cc2483dd8268a7aa7ca6fe36596cc863

Observation 9960acdd-de04-4487-9bf9-aa931f704780 · outbound

This paper cites FastJet user manual.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency FastJet user manual

Reference 53

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source=pdf_text observed=2026-08-03T15:47:04.213300Z digest=sha256:366309aec32cbb30bba5ee48b59271ba85d178a89a291abecc0e8fbd40595bca

Observation 98814ae6-e02a-4c3f-a6e8-e777bd78aa0c · outbound

This paper cites ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization

Reference 54

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source=pdf_text observed=2026-08-03T15:47:04.326841Z digest=sha256:d8ade41cdc0bfc688ac5ba29e762f2767dcb7446bd6520a888d6e44c393a319d

Observation a15f174e-446f-4a6b-97b6-da06e6b3adab · outbound

This paper cites The HepMC3 Event Record Library for Monte Carlo Event Generators.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency The HepMC3 Event Record Library for Monte Carlo Event Generators

Reference 55

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source=pdf_text observed=2026-08-03T15:47:04.480192Z digest=sha256:6685ff343ee09e4f346c7d28cf01c5610616f691d935c335184015d2bd19ead1

Observation 4b20a75e-c86e-4928-9a66-2e2e3f707635 · outbound

This paper cites A standard format for Les Houches Event Files.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency A standard format for Les Houches Event Files

Reference 56

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source=pdf_text observed=2026-08-03T15:47:04.557840Z digest=sha256:686f0ef6367611f4084dcd1324ae275ef0168f1fd5ba1be07d70f9e152e4bc87

Observation 8e564329-6a30-48f3-ae70-919963a1f128 · outbound

This paper cites MadGraph 5 : Going Beyond.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency MadGraph 5 : Going Beyond

Reference 57

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source=pdf_text observed=2026-08-03T15:47:04.717042Z digest=sha256:bf28c96bc72f1b844bdfa1e5fd1033306da61cb2bc7432a3a9c6977d4b0486f5

Observation 88e27e84-b485-4616-b73b-cb27a537a38a · outbound

This paper cites Herwig 7.3 Release Note.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Herwig 7.3 Release Note

Reference 58

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source=pdf_text observed=2026-08-03T15:47:04.900468Z digest=sha256:d476dd4ac66158fd8c2a1576b50f87a9a1eb9861d84452e5ab878f51a52e447c

Observation dcd71901-3764-4221-a8dc-c1bc201dff58 · outbound

This paper cites Allison et al.,Recent developments in Geant4,Nucl.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Allison et al.,Recent developments in Geant4,Nucl

Reference 60

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source=pdf_text observed=2026-08-03T15:47:05.087304Z digest=sha256:5f07ab9f06f310b6313afcea5a31fd405e55372c0444d8971abee41b3b33ee83

Observation df5648db-c786-4b9d-a73c-b3e8dd25f601 · outbound

This paper cites Robust Independent Validation of Experiment and Theory: Rivet version 3.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Robust Independent Validation of Experiment and Theory: Rivet version 3

Reference 61

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source=pdf_text observed=2026-08-03T15:47:05.243452Z digest=sha256:0c4c086b1d3f5e3813b97dde66f70c2ed9e0ebc3661e05524e09559eb1cd6683

Observation e2d1a4b0-fadc-4c28-84d3-e2a686b50388 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency gpt-oss-120b & gpt-oss-20b Model Card

Reference 62

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source=pdf_text observed=2026-08-03T15:47:05.436035Z digest=sha256:9d2789878e6cbc1ff95fca80bf43303975551fefc77b5b01f4d02cf5c2486035

Observation 48d0eeb6-7c24-4f7e-9c40-88d0131dadce · outbound

This paper cites Jiang and G.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Jiang and G

Reference 63

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source=pdf_text observed=2026-08-03T15:47:05.545106Z digest=sha256:55dec6bcb7427181cb726217e22ffcad604a859c05de8b85b629fc69e804a1a7

Observation 046d24c3-cd20-4217-a321-8ce374278669 · outbound

This paper cites The GENIE Neutrino Monte Carlo Generator.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency The GENIE Neutrino Monte Carlo Generator

Reference 64

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source=pdf_text observed=2026-08-03T15:47:05.642250Z digest=sha256:c2e5cd680f8b9f519df2636a67f0715b1d0f760aec63c6c13a5792ff46c9380e

Observation 08fe4091-55df-4580-b5af-0f28dfb6cbba · outbound

This paper cites ACHILLES: A novel event generator for electron- and neutrino-nucleus scattering.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency ACHILLES: A novel event generator for electron- and neutrino-nucleus scattering

Reference 65

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source=pdf_text observed=2026-08-03T15:47:05.775408Z digest=sha256:3dcb070e51db6376e064d527ca22ef9fd804d87e7953b4c805e16bd8a4fbe47a

Observation c7ea024a-e38a-48d5-82fe-ffd5cc825f55 · outbound

This paper cites SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning

Reference 66

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source=pdf_text observed=2026-08-03T15:47:05.861274Z digest=sha256:6fefb02fa2641b37664f4335f9ee057c1ea41c8a5168e56d0ce6516347f332fa

Observation abf5b320-93f6-4bbb-a334-ce7d6892d35c · outbound

This paper cites Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression

Reference 67

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source=pdf_text observed=2026-08-03T15:47:05.955390Z digest=sha256:c135de1307b47e4a6d82c17d57aa7fb3c3cdff1e36427a68746c3d9ccc1bd0bb

Observation 904d9943-0b02-4928-8664-4a2926be3c94 · outbound

This paper cites Exploring the Truth and Beauty of Theory Landscapes with Machine Learning.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Exploring the Truth and Beauty of Theory Landscapes with Machine Learning

Reference 68

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source=pdf_text observed=2026-08-03T15:47:06.014781Z digest=sha256:cc7e072023edf7380e8143ec8bdd0f60130a75c2058627fd0ee19ca778813903

Observation da3c972d-0281-4530-b977-02e0c9ee0c56 · outbound

This paper cites Graph Reinforcement Learning for Exploring BSM Model Spaces.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Graph Reinforcement Learning for Exploring BSM Model Spaces

Reference 69

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source=pdf_text observed=2026-08-03T15:47:06.072967Z digest=sha256:134cbc9f458f88aead5c864a998e5b0f595146aa6d6137f8476b1570aca6add2

Observation 468aeb22-8c0d-4969-a02f-8c7a19250e51 · outbound

This paper cites Truth, beauty, and goodness in grand unification: a machine learning approach.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Truth, beauty, and goodness in grand unification: a machine learning approach

Reference 70

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source=pdf_text observed=2026-08-03T15:47:06.129393Z digest=sha256:f0066d24fca4c2745a44e478cbf192b559e2fefa8b55170091ebd89f409ea6f8

Observation 93bb1c11-deb1-47a9-bf2a-8fda27de0b4b · outbound

This paper cites Generating particle physics Lagrangians with transformers.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Generating particle physics Lagrangians with transformers

Reference 71

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source=pdf_text observed=2026-08-03T15:47:06.213168Z digest=sha256:093dca1316ce7166836f2b8e78c3f0e90933e2a268f28d82ee3bd37c8fd170a9

Pith citing papers

Observation 8e47bd60-8e30-45d4-92b7-5405bfefd03d · inbound

RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis cites this paper.

RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 16

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arxiv_id, observed 2026-07-21T02:20:33.283246Z

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Observation 6d2b66bc-cb80-43c2-b6d5-25313fe6ae05 · inbound

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 193

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arxiv_id, observed 2026-07-21T02:20:33.283246Z

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source=pdf_text observed=2026-06-28T17:35:01.285534Z digest=sha256:63691a34363a471e788821a39415ba973d9ddcd83e4144750b067eb3968c70e9

Observation a531eb39-98fd-4710-a8c6-a9483b3a7118 · inbound

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 206

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source=pdf_text observed=2026-07-01T07:22:25.349398Z digest=sha256:551bb83dba5c3a951fc3ee8081b3ba4de6a0ea32d87ad5a861824d518d92a7db

Observation edf4b321-e9dc-40fa-a382-07ac4565331f · inbound

AgentRivet: an automated system for producing Rivet routines from journal publications cites this paper.

AgentRivet: an automated system for producing Rivet routines from journal publications HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 22

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arxiv_id, observed 2026-07-21T02:20:33.283246Z

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Observation 4a98c552-baf0-4ebd-9b98-93f87fd2fa70 · inbound

LeWRON: Agentic Analysis of Electroweak Phase Transitions cites this paper.

LeWRON: Agentic Analysis of Electroweak Phase Transitions HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 52

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source=pdf_text observed=2026-06-26T20:06:49.568135Z digest=sha256:e5f5dcb9337ee8638d68cb4b7bce3607b2cce67401d201a6fa40b34091ee5405

Observation fad19406-43ba-49f5-859b-6fd001f5a759 · inbound

Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics cites this paper.

Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 57

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

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Observation 23957176-4a3f-4eef-8bed-39647bcb1d11 · inbound

EasyScan_HEP 2: Agent-Ready Parameter Scans for High-Energy Physics cites this paper.

EasyScan_HEP 2: Agent-Ready Parameter Scans for High-Energy Physics HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 13

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source=pdf_text observed=2026-07-01T05:14:01.342230Z digest=sha256:52bbb5e6db0655f00df0942289fe4b382d4e4780224c43849ea5206d2c0e4021

Observation 6a23cce1-ae3f-48d0-9066-0a9ebeeadbd1 · inbound

Articulating Assumptions in AI-Generated Scientific Analyses through Task Decomposition cites this paper.

Articulating Assumptions in AI-Generated Scientific Analyses through Task Decomposition HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 19

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

source=pdf_text observed=2026-07-11T02:21:34.199798Z digest=sha256:1171e3eedb122480c60b44b85ea6645aa32708b6d9e8fa9510e0133cd19de879

Observation 7b81cfde-fd09-4e58-a957-4c461f7cff81 · inbound

An adaptive inverse-problem framework for one-loop five-gluon BCJ numerators cites this paper.

An adaptive inverse-problem framework for one-loop five-gluon BCJ numerators HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:23:00.223239Z digest=sha256:6a0376766b1a6b8498d0feba763ea151330d22a7eb75b2bc9aa9aedc8ae9d975

Observation 34ed656b-2235-4429-afe0-6a81de91fa21 · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 52

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no resolver link, observed 2026-08-01T04:29:00.984743Z

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source=arxiv_source observed=2026-08-01T04:29:00.984743Z digest=sha256:f7d28c03feb6414d80a0198ca8835b3e49472735c5f26ddaa5893bbae47928be

Observation 1e4973fa-e04d-4a49-81cb-82c2504e095e · inbound

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses cites this paper.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 12

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unresolved
no resolver link, observed 2026-08-08T00:38:38.929688Z

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source=pdf_text observed=2026-08-08T00:38:38.929688Z digest=sha256:bd63a71f73b36b4ee143a9c492ccad7d838c6dd7cc084c9870872e7de48b5d90