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Paper Citation Record · LEDGER

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.08736.

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

pith.paper-citation-record.v1
2505.08736 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:54:10.116078Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • verified fuzzy3
  • unresolved30
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External citation measurements

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Outbound references

Observation 950e6def-7f00-487f-aae8-f6247e5a772f · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 1

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Observation 9d754d58-2553-4c82-ac85-d045efd6c937 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 2

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Observation 9074fe1e-116e-48ab-8626-d9a8fc2a3070 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 3

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 4

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Observation 282b25fd-4720-42fd-baa5-feae15f5089e · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 5

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Observation 3c9100a6-6cf1-40d8-9417-41cb4da419c1 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 6

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Observation 245c42ef-a270-4784-9586-d318a3bdd8d0 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 7

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Observation 725ec72f-6344-46da-b431-076072c43bb4 · outbound

This paper cites Bumblebee: Foundation Model for Particle Physics Discovery.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Bumblebee: Foundation Model for Particle Physics Discovery

Reference 8

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Observation 89f88f30-07ca-4d0d-b009-38d47a615e28 · outbound

This paper cites Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 9

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Observation 9adcf2ae-3a5c-4b5a-8714-6489f5e0596d · outbound

This paper cites A Language Model for Particle Tracking.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data A Language Model for Particle Tracking

Reference 10

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Observation f310f80c-1360-482e-aaed-a823bd4d363c · outbound

This paper cites Core 8 026.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Core 8 026

Reference 11

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5bed0569-1079-4cf4-9ea0-7ad70da3aa15 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 12

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Observation 44dd5554-8b58-4ac9-86eb-5da86eb0d21e · outbound

This paper cites OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data OmniJet-${\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers

Reference 13

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Observation 0b8025ad-4274-4fef-89ba-0709a3e29a07 · outbound

This paper cites Neural discrete representation learning 2017 Advances in neural information processing systems 30.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Neural discrete representation learning 2017 Advances in neural information processing systems 30

Reference 14

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Observation fb8ea147-8d49-4893-8ff9-0a91e222cda3 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b017ef96-2668-4c19-ba1e-17ca7cbb045d · outbound

This paper cites Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos

Reference 16

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Observation 13a26fbd-163a-4c44-aad2-97de30f54c06 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation da0701aa-2ab3-4540-b510-30e6a580b243 · outbound

This paper cites Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider

Reference 18

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Observation ee50cbed-52ec-4c08-bc73-8250b122f3f6 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 19

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Observation 89612ae4-f835-4525-bc3a-5fcfb233eaae · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

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Observation d572fdd2-540b-4f0a-9c7a-51a9ad875a42 · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Gaussian Error Linear Units (GELUs)

Reference 21

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Observation c8aad04b-e8d6-4f49-9e77-b39c0fb2275f · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Layer Normalization

Reference 22

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Observation 81ba892a-b54e-498f-a4cc-d1c1e58ca7e5 · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

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Observation 78c2238b-343c-422b-a619-29680bf781d8 · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Query-Key Normalization for Transformers

Reference 24

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Observation d70807ba-aebe-4491-820a-d7bccfd0af1f · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

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Observation b4b0c550-090e-4310-bb48-4fbb16d1cc01 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 26

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Observation 32fd192c-14b5-4006-a92b-2ae7c2751bd4 · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection

Reference 27

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Observation 3e6edbf1-2a1c-40c0-af07-59caf9173770 · outbound

This paper cites FastDIRC: a fast Monte Carlo and reconstruction algorithm for DIRC detectors.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data FastDIRC: a fast Monte Carlo and reconstruction algorithm for DIRC detectors

Reference 28

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Observation add12063-77e0-4bd4-8966-7631ec9fa8b2 · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 763e3937-69dd-4f1e-915c-fc28a76581e7 · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data The Curious Case of Neural Text Degeneration

Reference 30

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Observation 42ba1791-b363-4759-acd4-3300b211fb82 · outbound

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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Design and performance of the Focusing DIRC detector

Reference 31

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Observation 0797b624-f02e-46b3-b0c6-8c5576d59374 · outbound

This paper cites Science requirements and detector concepts for the electron-ion collider: EIC yellow report 2022 Nuclear Physics A 1026 122447.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Science requirements and detector concepts for the electron-ion collider: EIC yellow report 2022 Nuclear Physics A 1026 122447

Reference 32

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Observation 5873b6d6-b1f8-4202-a7d2-dd2701341662 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 35d787e3-f6a5-40aa-822b-69449bd4791b · outbound

This paper cites Emergent Abilities of Large Language Models.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Emergent Abilities of Large Language Models

Reference 34

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Observation 4686ff50-9941-4251-9a3e-3d5490d66c34 · outbound

This paper cites The GlueX DIRC Project.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data The GlueX DIRC Project

Reference 35

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Observation de4f7e7e-c0a2-434f-a46a-5bc9546d4f15 · outbound

This paper cites an unresolved cited work.

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.