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Paper Citation Record · LEDGER

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2510.16028.

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

pith.paper-citation-record.v1
2510.16028 v4

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:41:52.738485Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

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Outbound references

Observation d809c15d-a753-4e35-abc0-219d625bb91d · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 1

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Observation ae092a28-c7cd-404a-adb2-291f38ad0182 · outbound

This paper cites Verde: Verification via Refereed Delegation for Machine Learning Programs.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Verde: Verification via Refereed Delegation for Machine Learning Programs

Reference 2

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Observation 6b8f63a3-4500-4613-b6e6-211a5912305c · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 3

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Observation f53ea25e-479a-486f-ada9-2787f8473679 · outbound

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 4

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Observation 97c15a32-d153-4f76-aba1-3f88d995b4e2 · outbound

This paper cites Rothblum.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Rothblum

Reference 5

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Observation 63bfa9ba-f610-4c2e-9b4d-2ee175172273 · outbound

This paper cites Rothblum.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Rothblum

Reference 6

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 7

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Observation 316d01a4-06e1-4266-aebf-33e19ec26434 · outbound

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 8

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Observation 9943fc12-fad1-4eb2-a0fc-8dfefcb3b045 · outbound

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 9

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This paper cites opML: Optimistic Machine Learning on Blockchain.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks opML: Optimistic Machine Learning on Blockchain

Reference 10

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 11

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 12

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 14

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 15

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Observation 712c9b65-eaf2-4c71-81f8-b9d45a9fcff8 · outbound

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Rothblum

Reference 16

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 17

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Observation 1ce3f51f-cbb3-4c4c-88f6-5352dabdf5d4 · outbound

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks 2002.Accuracy and stability of numerical algo- rithms

Reference 19

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Reference 23

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Rothblum

Reference 24

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks InProceedings 2025 Network and Distributed System Security Symposium

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TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 38

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Reference 39

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Reference 40

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Observation 5c2862ab-f311-42b2-9802-7485b9474f58 · outbound

This paper cites Proof of Diligence: Cryptoeconomic Security for Rollups.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Proof of Diligence: Cryptoeconomic Security for Rollups

Reference 41

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Observation b5c2df41-7d74-4a7f-8c92-6e1301370658 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 42

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Observation c7e322d1-238b-4466-a8b6-c754177ed09b · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-04T09:41:50.687409Z digest=sha256:7edcd751967e5969aeaf21084dc28bdfe70522f0b854d1d1776f24b98a8fba57

Observation f7bde2a3-4ada-4258-98a0-84924621886c · outbound

This paper cites No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks

Reference 44

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source=pdf_text observed=2026-08-04T09:41:51.221476Z digest=sha256:a9a837cb62557900720bec56c97d39cfccdf85b7d995c630d69ee9642949121a

Observation 580c2d17-bcc4-4aa6-b5ab-859e5388543e · outbound

This paper cites Qwen3 Technical Report.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Qwen3 Technical Report

Reference 45

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source=pdf_text observed=2026-08-04T09:41:51.287257Z digest=sha256:e7a701c2f0ab195bb405be1da0b8931255c4609501889ea45996f9dd2eb1b506

Observation d263a658-bdf5-4b19-bd36-2420f384b57c · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-04T09:41:51.346933Z digest=sha256:5b489ec3f3f0a8cc8005f45eff37557380e7995e70d80e789b5e7eef58546832

Observation 2b3218c3-2266-4410-a827-6b5f650b5f03 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-04T09:41:51.387666Z digest=sha256:17698a2af60b2cd275378c55dd678d01c018c74a320d234752f7eb61038e3098

Observation 076d14b6-c6a7-4d55-9484-e43cdaf54d7f · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-04T09:41:51.469219Z digest=sha256:5102495000de3b0fef74a77c224af563df0849436bffacb96338f339e23fe526

Observation a8ec8d06-b99d-4ffe-a144-8e40c0baa5a8 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-04T09:41:51.168224Z digest=sha256:0c866c79f564cde1eccd220edfff96294e1f834217d37ab6d6485911a5e2684b

Observation 9d8ea840-3b75-4be2-a8a4-4949319ba601 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-04T09:41:51.722602Z digest=sha256:a273a9cff8063ea7258f4511756db36fb8c5f98df10029b726c78db0d0c5b121

Observation 35f481a5-b319-438e-9213-ad830d1d3148 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-04T09:41:51.844053Z digest=sha256:02604db66aadafbe3caa7d5da02fd0cbaf110ec8420b20b9e21052ecdfe43c8c

Observation 1f719b5d-862d-42c0-8674-0d4f84f9644e · outbound

This paper cites Proof of Sampling: A Nash Equilibrium-Based Verification Protocol for Decentralized Systems.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Proof of Sampling: A Nash Equilibrium-Based Verification Protocol for Decentralized Systems

Reference 52

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source=pdf_text observed=2026-08-04T09:41:52.069807Z digest=sha256:f695faf9b63e9159bb4a3f71c3a6a31d6b40399f7b13c6aa452f3b8925bb2a62

Observation b188b885-4bb1-4183-ba59-fe94e23d35d2 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-04T09:41:52.194213Z digest=sha256:4caab56bb68ef79d45a3715d1b24004385566417448d708741ae96c37090b353

Observation 44481432-0a25-4c16-90db-9b7a94313bd9 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-04T09:41:52.313424Z digest=sha256:a1e6e41cd4cc9121bd6f1cf74c1e7d5518bbbd1342d83f83e0b7536fc075e2db

Observation 4f9fc2de-837c-4977-9152-e1a5c64fd380 · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-04T09:41:51.604555Z digest=sha256:35c8bebafbe0693aea64e638aa05e05691a441e9889b5145aecf1fdac90adcc1

Observation e4b05809-a284-4c0c-bd77-57d2f124d13a · outbound

This paper cites an unresolved cited work.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-04T09:41:52.578540Z digest=sha256:8841ec546539254f389305d44502c6f37d40a243c343960d1d4b394e2a2a3611

Observation 83edbe42-077b-4cdb-9d81-88fe3a78eeec · outbound

This paper cites In2019 IEEE 30th international symposium on software reliability engineering (ISSRE).

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks In2019 IEEE 30th international symposium on software reliability engineering (ISSRE)

Reference 58

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source=pdf_text observed=2026-08-04T09:41:51.946522Z digest=sha256:58bfcbb985d5e30f4a9b8ec73ee6bf8eba63c8ca7b3b8e7a24a92da6cbbd9969

Observation ecd7ea4d-5cd7-4176-8c63-bedc27e297ed · outbound

This paper cites Proof-of-Learning with Incentive Security.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Proof-of-Learning with Incentive Security

Reference 62

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source=pdf_text observed=2026-08-04T09:41:52.433210Z digest=sha256:7825e596ecb6c64efe978c17eed1a396af63818692dc82773cd07ccb66bcac8a

Observation 98c137d9-1916-4a12-9184-73f4be079b52 · outbound

This paper cites In2009 IEEE conference on computer vision and pattern recognition.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks In2009 IEEE conference on computer vision and pattern recognition

Reference 2009

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source=pdf_text observed=2026-08-04T09:41:47.200399Z digest=sha256:9df6276151106a6afd414290eca0da7b2064c77165ececf562da13cf98c15db0

Observation 23b7f167-5cbe-4309-8285-6a5a1e953b51 · outbound

This paper cites InInternational Conference on Learning Representations.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks InInternational Conference on Learning Representations

Reference 2017

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source=pdf_text observed=2026-08-04T09:41:49.852557Z digest=sha256:780740dc9488c18c3609a441de51e202efb7a7c8d2d3324f569768e6745a0427

Observation a7daeacc-316a-4b51-a4f5-38262352aae7 · outbound

This paper cites InProceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks InProceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 2019

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source=pdf_text observed=2026-08-04T09:41:47.519749Z digest=sha256:014be812b23e423009304f79d6e3c450f5b8551e496d313c8d44ebadbd8356f3

Observation d4d184ec-4d16-463c-bdc6-af5fa021e3e8 · outbound

This paper cites Agatha: Smart Contract for DNN Computation.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Agatha: Smart Contract for DNN Computation

Reference 2021

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source=pdf_text observed=2026-08-04T09:41:52.738485Z digest=sha256:4161118f1e0ac70c6c9909c712e10a155f124dc53f6eb7026f3946b199787e93

Observation 1783c574-6dff-4f9f-8dcb-61ef302e02bb · outbound

This paper cites InProceedings of the Nineteenth European Conference on Com- puter Systems.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks InProceedings of the Nineteenth European Conference on Com- puter Systems

Reference 2024

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source=pdf_text observed=2026-08-04T09:41:46.516302Z digest=sha256:97a1eee8db03336c1611b184b15efb0bd91712eb8df5593023caebf8192586a7

Observation 61450123-0451-415b-b4e1-bf719a510a42 · outbound

This paper cites Cryptology ePrint Archive(2025).

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks Cryptology ePrint Archive(2025)

Reference 2025

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source=pdf_text observed=2026-08-04T09:41:50.080975Z digest=sha256:92833efbd6ab7cf0d331e1ed7bd5f5193ddb14a73654f1dc63fd285b5140368f

Pith citing papers

No inbound Pith citation observations are available.