Paper Citation Record · LEDGER

N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2010.11358.

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

pith.paper-citation-record.v1
2010.11358 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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:35.194923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:48:11.478681Z

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 2ac03697-ea67-4dbc-b25c-a9c2ebf4c404 · inbound

OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization cites this paper.

OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T22:34:21.217339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6f7dbd-ab6d-4e3e-b06c-73b6ac5c6935 · inbound

A multilevel approach to accelerate the training of Transformers cites this paper.

A multilevel approach to accelerate the training of Transformers N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.194923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c51193-16ec-4047-a6a2-c4356c255052 · inbound

IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method cites this paper.

IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:12.638626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59c06bb4-7402-49d5-90f3-40261b0d652e · inbound

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs cites this paper.

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:02.945798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d340389b-479b-47b4-8514-6a4bcae5af48 · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:48:11.480446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e16352c-5348-4a20-ab10-f6373bfb3a87 · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T13:08:23.449082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.