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Paper Citation Record · LEDGER

Can recurrent neural networks warp time?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1804.11188.

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

pith.paper-citation-record.v1
1804.11188 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:12:30.099113Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T07:35:29.071501Z

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 273a82de-9cbd-4e7c-bbb0-8e2ba747da0d · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Can recurrent neural networks warp time?

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:29.977924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:ed6b38cb00bf9bf5ae3585ce01657b0ae0a92ecf23758610ecbeaa9831cc515d

Observation 9777b0ae-0f5e-4606-a0ab-c393aead751b · inbound

Capture Timing-Attention of Events in Clinical Time Series cites this paper.

Capture Timing-Attention of Events in Clinical Time Series Can recurrent neural networks warp time?

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:17:26.555794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T06:14:20.451776Z digest=sha256:2c2659c46573161d8442fe3442824924deed63f4bb7481e8d252e1b59c4c9df7

Observation f46d4f0f-86b9-4041-b7ce-4a2c06431b44 · inbound

Capture Timing-Attention of Events in Clinical Time Series cites this paper.

Capture Timing-Attention of Events in Clinical Time Series Can recurrent neural networks warp time?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T01:12:30.099113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:12:30.099113Z digest=sha256:ed218a00cea5d8b006b22072eac237dace41be400f9795fc5a594dc2efbc4bbf

Observation 749de238-55b1-4b17-939e-d1676241f8b5 · inbound

Mamba Sequence Modeling meets Model Predictive Control cites this paper.

Mamba Sequence Modeling meets Model Predictive Control Can recurrent neural networks warp time?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:46:35.860345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T12:33:30.048117Z digest=sha256:b7038de0201b4bd1c111cb1eb7a004dc89bd1af3722b01beefa1432e9b820cde

Observation 285adf40-8301-4fa8-beb2-1bdf3c7a356d · inbound

To Use AI as Dice of Possibilities with Timing Computation cites this paper.

To Use AI as Dice of Possibilities with Timing Computation Can recurrent neural networks warp time?

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:56:34.275188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T19:00:48.374406Z digest=sha256:04a8068d90fb18eb7bbc9844244c67eb8fea01ff6b928d1e6b578258d3356bc4

Observation df3510b0-1ea3-45be-b2cc-ad4b5514b6f5 · inbound

To Use AI as Dice of Possibilities with Timing Computation cites this paper.

To Use AI as Dice of Possibilities with Timing Computation Can recurrent neural networks warp time?

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:35:29.072607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-01T07:28:08.158588Z digest=sha256:9c2b180fb39dea7623a1f2c6e394740838098ab065bfae82623f41a7e7503e47