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Paper Citation Record · LEDGER

Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:68547c98fcfe3a638a1f2fe59b61ee0d08058ba3d88476ae025e7d73c1e992ab

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:d04b6c4210308ce716c5222f7d5e88938612191aba379eadd7a87842c479406f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T03:16:47.147875Z digest=sha256:30ba4a1ed8ecb3e426a0bccdd2d4763fb49a271a7f858e5b30306c74eabd48d7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T05:45:47.884668Z digest=sha256:d748822834522817f1a76d0759bd56f7ba884cd45d707dcfe54d2a3b0eb15e53

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T04:17:02.233964Z digest=sha256:9cc6a485ce3084224e2e340e8aa8e5c0862f201ed507a2951f6839bd64d5bcc1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T05:54:40.059591Z digest=sha256:0909adc0c8a27dc27c25e8ab78bf2c19e77a1f60c6497e52dc747ce94c1d5b14

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:06:59.462289Z digest=sha256:27e873c098894b0851a622a51d2a2c8c9e25ed9fec913b1a0f0b5a85d2dcd518

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T07:34:47.006198Z digest=sha256:8057720c094b271241f5a7616b39f93f36bc21e0c9f4f95b41036e035fdba310

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:a4a99da7c711f5f5d00dcdfe5eaad9f8ee233d52f570f9538db55de3e0e1876e