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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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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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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This paper cites an unresolved cited work.

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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Observation 920d9384-cd69-4a05-b99e-130122577837 · outbound

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

Reference 13

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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

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This paper cites 2002.Accuracy and stability of numerical algo- rithms.

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 Unresolved cited work

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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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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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source=pdf_text observed=2026-08-04T09:41:50.935584Z digest=sha256:f87d7d6604a3710afe8d7444f6b0f74031de6a5682853022fea49c711c384429

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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source=pdf_text observed=2026-08-04T09:41:50.991157Z digest=sha256:295f95694b81486b13e2c938341bdae9a06c1162800771213919f080dc4e9454

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:beb30828865f79c3ef3a803058fd8a555e4ea9b703f7f47fb3b2995bb2de2510

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=sha256:0941e61dc4508603455968c89ccacfaa2ad04d6b3750414fd02cd11cf426a017

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:e1dba01a23dc32c821efcb060a02998adb691214f0836bce3adcdd26d534f12b

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=sha256:422fa8fe2b63ee70d9c564d9cc73a2ac0ff35318ef3cc6d405118ca3e2e0d496

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:a9773a901ace5e699b9dec17078fc9de87d6f6f24cf17d5d028267e560dd7256

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=sha256:7ebd6f41f2eafc9de84b476ae5847d6eee93c8e85594e9b58d8cf6b207041007

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=sha256:7e321bf12d7767c7fee95a3dae5ddc24a4f903942876d7b1099960385a7410e7

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:ce1c146f2c25f95e2c01bd5936ba3ae4b70f766b347ed64f190c42e65267dd15

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:d1b97443fcecc1afa94bfb01eb1d969a35d2e778b2c984811e8cf1b733c68abe

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:a21c310c1902dac8ebde1cccfbac3c6aedf9cb5f1bb4862189253cff8f3cdfcc

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:dd809a8c2a2b97fd42e9d6a2dc813476c4ab7f5e5ae7ba6bed8d4dcb6ca76e19

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=sha256:3097f304725c375548b7115df1f98560fbcd9fe211274537f86d3d8d6e5a36eb

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=sha256:563097c2d83f101dcddad0a0de4b45b8f5257318e157f36d2d671490414e5fa4

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:f8fbdad0a54e8ba2cf471c981dd06f5b4da19a1d4557520188806b675e3522e5

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:f430b91ef566ff3c756a893b1d6b5a188c2c5a97d02c4d0f114942c280543eb6

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=sha256:526458d7faafb9d104d71785b5744d3b60bbb1444bb83c0167bd9272f4aa697b

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:b4ea5ed7c651a9c821ee7676b613be1f736a78fb50482157d65b7b0701ee31e5

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=sha256:5413de8fdf01a604cfe992deed47e8f2fc5f829372ab5194cb088849f2952da8

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:f9ab1319cc7a77a0320e08cf7785094487105a7dfeb0b42159be0a4103bd8d2b

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=sha256:794588bc45519b235959a6b2f318841f567ff115d17a7e75532cc340118fb67a

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=sha256:221ba23bd296b965c39560b0ff8e501dbf41e4527dc202c57fe758953b673f5f

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=sha256:3828ff337a17708261e36a9d503ce99ddf7caff15921552bca843e22c183c0cf

Pith citing papers

No inbound Pith citation observations are available.