Paper Citation Record · LEDGER

opML: Optimistic Machine Learning on Blockchain

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.17555.

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

pith.paper-citation-record.v1
2401.17555 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:41:46.897288Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:49:50.874507Z

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 4fee6861-6a89-41d6-b4c0-4071888f7b3f · inbound

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

Proof-of-Learning with Incentive Security opML: Optimistic Machine Learning on Blockchain

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:25:55.522587Z

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.

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

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks cites this paper.

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

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:46.897288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f1871b-b174-4ff0-a6cc-91bcef9d867c · inbound

Game of Coding for Vector-Valued Computations cites this paper.

Game of Coding for Vector-Valued Computations opML: Optimistic Machine Learning on Blockchain

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:57:29.044268Z

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.

Observation a41306c3-86e1-4ccd-9c94-46d9290df6c0 · inbound

\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments cites this paper.

\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments opML: Optimistic Machine Learning on Blockchain

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:30:55.140122Z

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.

Observation f7eb5792-f8bf-4d39-a0e8-fb15fb187d6e · inbound

OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals cites this paper.

OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals opML: Optimistic Machine Learning on Blockchain

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:49:37.458079Z

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.

Observation 04039fff-bb57-4592-9d22-06a24e95c24d · 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 opML: Optimistic Machine Learning on Blockchain

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:49:50.875818Z

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.

Observation dd1162d5-4fb8-42f2-a9c3-9b7ea4d176a3 · 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 opML: Optimistic Machine Learning on Blockchain

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T12:42:13.760032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.