Paper Citation Record · LEDGER

Artificial Intelligence, Scientific Discovery, and Product Innovation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.17866.

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

pith.paper-citation-record.v1
2412.17866 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:10:06.461274Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1de7c4dc-18dd-4b76-bec6-40b3aa90a64e · inbound

Risks of AI-driven product development and strategies for their mitigation cites this paper.

Risks of AI-driven product development and strategies for their mitigation Artificial Intelligence, Scientific Discovery, and Product Innovation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:06.461274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33ad753e-0255-442d-a28d-9284783f5696 · inbound

Efficient Unified Caching for Accelerating Heterogeneous AI Workloads cites this paper.

Efficient Unified Caching for Accelerating Heterogeneous AI Workloads Artificial Intelligence, Scientific Discovery, and Product Innovation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T01:02:22.025365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63df88f5-7a3c-407c-816c-68981734b727 · inbound

Measuring and mitigating overreliance to build human-compatible AI cites this paper.

Measuring and mitigating overreliance to build human-compatible AI Artificial Intelligence, Scientific Discovery, and Product Innovation

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.407861Z

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 d50a9a76-dc25-4b18-8211-7d95ec7b47d4 · inbound

GENIUS: An Agentic AI Framework for Autonomous Design and Execution of Simulation Protocols cites this paper.

GENIUS: An Agentic AI Framework for Autonomous Design and Execution of Simulation Protocols Artificial Intelligence, Scientific Discovery, and Product Innovation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:55:32.306258Z

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.