Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:19.349258Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.17623.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:19.349258Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
32 of 32 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ba4c2189-73fc-4906-8c5b-5c061f575058 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Accountable magic: Ai alignment and governance, 2025
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d787b075-d475-4db6-b0ce-afbda2212789 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party The sum-check protocol over fields of small characteristic
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d2e6fde2-ba41-4d7c-a279-3820770d561a · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Deep learning, volume 1
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52e3855b-a328-41c8-afa7-67349aecca6e · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Sumcheck arguments and their applications
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f033ce9-1723-4cd8-a82a-223bd4528000 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Bulletproofs: Short proofs for confidential transactions and more
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2b7b5b39-4b92-456c-bb53-7e4a3e214302 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Interactive proofs for rounding arithmetic
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 93b4975b-2608-4bab-8ac6-bd2451f0acae · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party More optimizations to sum-check proving
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 63a715ad-ebfb-4a5b-9813-f0d1f6512fa5 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party The mnist database of handwritten digit images for machine learning research
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 834abe0e-4e6b-4d64-9ede-2ee064c26949 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party EZKL: Zero-knowledge machine learning, 2025
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5030d8cd-7666-4174-bb5e-855f50d2e205 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Succinct zero knowledge for floating point computations
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e22dd29c-668a-40cc-ab53-f75e0742d648 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Experimenting with zero-knowledge proofs of training
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0c0f5ccb-bb03-43ae-a368-df71b5864aed · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Safetynets: Verifiable execution of deep neural networks on an untrusted cloud
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 834e2428-d655-4800-ab8d-e8c128d45bd5 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Efficient sum-check protocol for convolution
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 21c0c345-f2cc-4138-aeec-433cf8783b0a · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Snargs and ppad hardness from the decisional diffie-hellman assumption
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 44dd1586-3300-47a1-bd33-1ec1b8b1d85f · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Sparsity-aware protocol for zk-friendly ml models: Shedding lights on practical zkml
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fedcc26d-d03b-412e-a56f-bd67894c85fb · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Artemis: Efficient Commit-and-Prove SNARKs for zkML
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bd5a817-7a76-4b3e-9f50-e0cfb49d0007 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Noya: Ai-powered infrastructure for zero-knowledge proofs, 2025
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8b08de96-e0c3-473b-afff-a08ae6d09c1e · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Pinocchio: Nearly practical verifiable computation
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 29a06769-359b-495c-a103-7e672536f86a · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad6d2988-e51b-474b-81b6-84d199d40b84 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Polygon zkEVM: Ethereum scaling with zero-knowledge proofs, 2025
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ac8da78a-84eb-47a6-8a36-52fa2f1dc1c6 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Provably: Trustless ai verification, 2025
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 057c027a-5702-430e-a87b-6f9c0a10a8b7 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Fast probabilistic algorithms for verification of polynomial identities.Journal of the ACM (JACM), 27(4):701–717, 1980
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2771fa69-99b5-4a0c-8967-1faaba081246 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Proofs, arguments, and zero-knowledge
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d109cfd2-e3f7-4418-866a-62acaa427265 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Mystique: Efficient conversions for {Zero-Knowledge} proofs with applications to machine learning
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2921e33c-0dbb-4e0c-9269-2db695cab384 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party pvcnn: Privacy- preserving and verifiable convolutional neural network testing
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 559e62c5-8ad4-468d-860d-aa658cf15e1b · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Validating the integrity for deep learning models based on zero-knowledge proof and blockchain
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6cf0021e-94b8-4cd7-b06e-ca835de6287e · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Probabilistic algorithms for sparse polynomials
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7460ef40-f726-4cc3-846e-715dbce7a04a · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party zkAGI: Zero-knowledge artificial general intelligence, 2025
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6caf21b5-fd68-46e7-a64a-5c07708f9e93 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party ZKML: Zero-knowledge machine learning systems, 2025
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c10b230b-ca16-4f10-a2f0-660520bcae94 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party From these inequalities, we deduce that −2t+s+2 + 1≤ (e2 − e1) + 2s × (a′ 2 − a′
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 992c89f8-fcea-49c1-86b5-5f5c742acdbe · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Since p has at least s + t + 3bits, we can conclude that 2s+t+2 ≤ p
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aaab3724-5936-45a9-9a37-2c3cf1c32cc1 · outbound
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party Given the bounds on e1 and e2 as well as the multiple of 2s, it follows that e1 = e2, and consequently, a′ 1 = a′ 2
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
No inbound Pith citation observations are available.