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Paper Citation Record · LEDGER

Reservoir Transformers

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.15045.

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

pith.paper-citation-record.v1
2012.15045 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:43:54.047640Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation af86c34b-e1cd-4652-9cd4-a4182fdf9f46 · inbound

Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing cites this paper.

Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing Reservoir Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:54.047640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:54.047640Z digest=sha256:724b9e51d565990e3353bd3ec0422ea632a1047734a14b56274dc01b223493c8

Observation 54120a6d-5578-4e44-86ba-1804fc9cfa13 · inbound

Quantum Reservoir Computing: Recent Advances and Future Directions cites this paper.

Quantum Reservoir Computing: Recent Advances and Future Directions Reservoir Transformers

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-01T15:13:31.588257Z

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.

source=pdf_text observed=2026-08-01T15:08:42.965301Z digest=sha256:4c5972ba28bd5f68e8da01192a360359654a3120081328b439b696c77a0348bb