Pith. sign in

Paper Citation Record · LEDGER

Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2210.08674.

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

pith.paper-citation-record.v1
2210.08674 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:38.741987Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:49:50.881677Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9836e101-82ee-4f5d-9253-7fea0dc373a2 · inbound

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs cites this paper.

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:03:38.741987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:03:38.741987Z digest=sha256:7f9a4698914dd62f489ec873bd60710ba1e1038164b88a7c96cd3f6c2dc4f88d

Observation 509e23af-c762-416b-8dd5-5612e36335fe · inbound

ZKTorch: Compiling ML Inference to Zero-Knowledge Proofs via Parallel Proof Accumulation cites this paper.

ZKTorch: Compiling ML Inference to Zero-Knowledge Proofs via Parallel Proof Accumulation Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:02:21.305705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:02:21.305705Z digest=sha256:e4aa70552811ee6a08e98f5cf222ff95050ea70d3bbc571c949802bf5325a6c8

Observation 5da6b641-d78f-4438-81a5-c497aea30334 · inbound

Private, Verifiable, and Auditable AI Systems cites this paper.

Private, Verifiable, and Auditable AI Systems Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 141

Resolution
unresolved
no resolver link, observed 2026-08-05T15:43:59.051234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:43:59.051234Z digest=sha256:c6fb02a102cde7d31ea9e74f88b7ab9b54a7554d883042eec95129a7f6d9250f

Observation a1754fc6-f7c7-4b7b-82d7-20e072c517fd · inbound

Private, Verifiable, and Auditable AI Systems cites this paper.

Private, Verifiable, and Auditable AI Systems Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 142

Resolution
unresolved
no resolver link, observed 2026-08-05T15:43:59.054036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:43:59.054036Z digest=sha256:0e57742ba894aaf852180a02919be9e053375235281fea39b61b1484c6648dd7

Observation 966c1b74-fd69-45a0-8849-209c0a4133fe · inbound

"Show Me You Comply... Without Showing Me Anything": Zero-Knowledge Software Auditing for AI-Enabled Systems cites this paper.

"Show Me You Comply... Without Showing Me Anything": Zero-Knowledge Software Auditing for AI-Enabled Systems Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 35

Resolution
malformed identifier
arxiv_id, observed 2026-05-18T03:20:49.050802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:16:47.147875Z digest=sha256:91981fb0b4c1864f71016315ba7bf37b3cee2ed1d70abcee68b6b325f7ea1c49

Observation afa963b7-26b1-429f-b029-38539aca5cf3 · inbound

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models cites this paper.

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:30.288649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T05:45:47.884668Z digest=sha256:d306e709d6b90cd7bff74cb63fee1d85a4a9d176c56079538acc123ca7b605f0

Observation db6bfa1f-75ba-4895-b930-f4068263eacf · inbound

Verifiable Provenance and Watermarking for Generative AI: An Evidentiary Framework for International Operational Law and Domestic Courts cites this paper.

Verifiable Provenance and Watermarking for Generative AI: An Evidentiary Framework for International Operational Law and Domestic Courts Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:19:33.348070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T04:17:02.233964Z digest=sha256:0e4c4c4f22741a85a1a23fe553925ac406421510fa850794b8f04aef3b47f997

Observation 9e8bb107-6e4c-4fc5-9a7a-8280a97bd5bb · inbound

The Usefulness Gap in Proof-of-Useful-Work: An Empirical Study of Pearl's cuPOW Protocol cites this paper.

The Usefulness Gap in Proof-of-Useful-Work: An Empirical Study of Pearl's cuPOW Protocol Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:36:48.348959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T05:54:40.059591Z digest=sha256:5df1da7795d02405b620e150306131823b0edb23a28e52d48407b69370f3e68a

Observation 78bec2f5-bd39-4d28-baa0-b6b5ad475c26 · inbound

Zero knowledge verification for frontier AI training is possible cites this paper.

Zero knowledge verification for frontier AI training is possible Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:26:47.808585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T06:06:59.462289Z digest=sha256:0d4a063243288a4a20fb7936bff86cef82f78a5d9f48a8abc628bd7b7c7c540f

Observation 64e5260f-4287-4dcb-8c8e-17f15c917711 · inbound

Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security cites this paper.

Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T11:49:50.882987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T07:34:47.006198Z digest=sha256:dc4aea33357983f527ac9eb41a90267934c538dcca263562dfb673a288e302fa

Observation 5c6e5945-9a20-4394-aff4-ebaf32fc4fce · inbound

Integrity of peer-to-peer distributed LLM inference under malicious nodes cites this paper.

Integrity of peer-to-peer distributed LLM inference under malicious nodes Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T12:42:13.755154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:42:13.755154Z digest=sha256:6877f638bf006248845ef2cca1d8f71200f21fff550fdadc901959ac29728e44

Observation 83c942a1-f7e8-4771-a046-f3a6676d4de7 · inbound

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification cites this paper.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T06:40:21.172039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:40:21.172039Z digest=sha256:8da294e61e04b86949477784265edad7e1aefb18003765068cc06e33e51bfc56