Paper Citation Record · LEDGER

Long Expressive Memory for Sequence Modeling

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.04744.

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

pith.paper-citation-record.v1
2110.04744 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:32:10.618913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:14:22.480530Z

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 ed847549-d00e-459e-9621-8d2e9d2d1b20 · inbound

Deep Loss Convexification for Learning Iterative Models cites this paper.

Deep Loss Convexification for Learning Iterative Models Long Expressive Memory for Sequence Modeling

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T19:32:10.618913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e2291be-a2df-45a6-9663-7cd79c39ca20 · inbound

Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks cites this paper.

Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks Long Expressive Memory for Sequence Modeling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:56:53.074205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 100b26e7-a253-449e-ac12-4a728881babc · inbound

Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing cites this paper.

Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing Long Expressive Memory for Sequence Modeling

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:51:25.414155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4e98c67-85d0-4ae3-99a8-437a57fcf32d · inbound

Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing cites this paper.

Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing Long Expressive Memory for Sequence Modeling

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:14:22.483651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.