Paper Citation Record · LEDGER

Liquid Time-constant Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.04439.

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

pith.paper-citation-record.v1
2006.04439 v4

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 2026-08-07T15:29:27.917248Z

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

3
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 eafa0c77-a2c2-46a0-ab3c-3a0665751763 · inbound

On the Day They Experience: Awakening Self-Sovereign Experiential AI Agents cites this paper.

On the Day They Experience: Awakening Self-Sovereign Experiential AI Agents Liquid Time-constant Networks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:27.917248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456551fc-8b67-4ea4-b8e2-f4a6ae750338 · inbound

Systolic Array-based Accelerator for Structured State-Space Models cites this paper.

Systolic Array-based Accelerator for Structured State-Space Models Liquid Time-constant Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T12:53:27.463142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c607cc-59e3-49b8-b79a-44cc2a2e7b2e · inbound

LIFE -- an energy efficient advanced continual learning agentic AI framework for frontier systems cites this paper.

LIFE -- an energy efficient advanced continual learning agentic AI framework for frontier systems Liquid Time-constant Networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:50:33.790412Z

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 eb758ae9-a742-4521-a169-1fab0278bd81 · inbound

Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting cites this paper.

Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting Liquid Time-constant Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.302479Z

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.