Paper Citation Record · LEDGER

Long Short-term Memory RNN

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.06756.

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

pith.paper-citation-record.v1
2105.06756 v1

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:34:51.730811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:21.575096Z

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 d44f3cc0-2730-438a-87da-47ac7b2aba72 · inbound

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning cites this paper.

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning Long Short-term Memory RNN

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:51.730811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a672ba30-376e-427c-96d3-39fd15a08e19 · inbound

Transforming Chatbot Text: A Sequence-to-Sequence Approach cites this paper.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Long Short-term Memory RNN

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:08.069326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e786222e-b243-444f-8962-8d5f8be9d9ab · inbound

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning cites this paper.

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning Long Short-term Memory RNN

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:21.576536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 13d26bb4-8f9e-40a1-b4a4-22a39f505298 · inbound

A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues cites this paper.

A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues Long Short-term Memory RNN

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T05:39:27.118781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.