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Paper Citation Record · LEDGER

Deep neural networks, generic universal interpolation, and controlled ODEs

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:1908.07838.

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

pith.paper-citation-record.v1
1908.07838 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:28:04.394919Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:42:48.110139Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0d21d56-d4a3-4c92-b21f-97d8b5c2d00a · outbound

This paper cites Belkin, D.

Deep neural networks, generic universal interpolation, and controlled ODEs Belkin, D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.729910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.300868Z digest=sha256:71d743d871ad48994beb4a3e13af8573772b2544e37c3a0af116a57b8d30aa34

Observation 2d6f2279-5bbe-4f23-b6ff-0da1067bdd6e · outbound

This paper cites Multi-level Residual Networks from Dynamical Systems View.

Deep neural networks, generic universal interpolation, and controlled ODEs Multi-level Residual Networks from Dynamical Systems View

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.306452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.306452Z digest=sha256:20d5fc4a1f647c27ebe35a8c7143e892cbe39a45019fca072a084871b1596f24

Observation b044491a-e6cc-4ad5-b39f-80e91eca2710 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.715759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.311830Z digest=sha256:24ce92f148d47c15d6fad2a9a516f315ff3910ca351f2fd8b921fe6f07b93f94

Observation 6d56ad79-c323-49c9-8df1-c2e1270492ad · outbound

This paper cites Cuchiero, M.

Deep neural networks, generic universal interpolation, and controlled ODEs Cuchiero, M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.701360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.316814Z digest=sha256:ed780af44ce277a1a120854f4365a2e82d46dd5d76c4b9459b9f1ea147e8e383

Observation d1a0003f-5892-4763-a90a-7a2c00df862a · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.686522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.322000Z digest=sha256:3107ad8729ba3dec862e219901627e3896791dcfd21e25d036173f1ab177e90e

Observation 2cbd83f1-c14d-447f-b4d6-8cbaa563c9b1 · outbound

This paper cites Augmented Neural ODEs.

Deep neural networks, generic universal interpolation, and controlled ODEs Augmented Neural ODEs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.332778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.332778Z digest=sha256:87d6dccd8e3495930b117dceec8ce3a9c129b853867534d99e60b328596cb432

Observation 6b05a3c5-2402-4b52-8165-337e81c62379 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.670532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.337496Z digest=sha256:6562de4a4699c3007810c286a46a2176a6749210144e10dc4a84855106d54237

Observation 793757f7-701d-4b76-bd56-58e5b6167706 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.655331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.343147Z digest=sha256:d5e99cc54a6abaddb852a45b2793f0a48803cc0de0dc8d6b3ec75475e40663d6

Observation 4db1acf2-13da-4d55-a8d6-0fdaca961e63 · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Deep neural networks, generic universal interpolation, and controlled ODEs FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.347772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.347772Z digest=sha256:bdd726708e04a9ef290c55c6b3654555e21e473f59ceb3081f3a0bb1c1dfab70

Observation 0310795d-a0a4-4bc6-8acf-8a41d7c35b43 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.640253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.352505Z digest=sha256:b1852d9e3a75edb2a19c5ed8702b1f59f57366f73185a067d3f4d7fdd0526ea9

Observation 11bd916f-fa61-43ae-9f0c-e0d0d02ce80a · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.625140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.356934Z digest=sha256:9226d4119a696d2f955b56cf152b8bc1212e06a9e88ed07e522ef276cd9bf17d

Observation fa44e122-92fb-4707-838e-3e7b542882f7 · outbound

This paper cites Kuranishi.

Deep neural networks, generic universal interpolation, and controlled ODEs Kuranishi

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.611064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.360886Z digest=sha256:5a399a737a1512a33f0404c337a706737b3c6b488d976030d911036cec5c0586

Observation dab7d925-3144-4755-a270-86e4457d8324 · outbound

This paper cites Leites and E.

Deep neural networks, generic universal interpolation, and controlled ODEs Leites and E

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.595046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.364787Z digest=sha256:285c7a8109d6678c75b0a2a9317cdba1c813316f29bb8923e1aa14742995728e

Observation f1dc01cf-bf1a-477c-b6e9-72912fa56678 · outbound

This paper cites Just Interpolate: Kernel "Ridgeless" Regression Can Generalize.

Deep neural networks, generic universal interpolation, and controlled ODEs Just Interpolate: Kernel "Ridgeless" Regression Can Generalize

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.368704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.368704Z digest=sha256:052f3860aafa7026f356aa172f6396abe1d378c5079c0a701280224f11ca0a21

Observation 25b9b5ce-71d5-48b5-8898-9b3424af65f5 · outbound

This paper cites Selection dynamics for deep neural networks.

Deep neural networks, generic universal interpolation, and controlled ODEs Selection dynamics for deep neural networks

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:28:04.457191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.372800Z digest=sha256:b1cd3577a5f797594287aa6e009657ce2eb4cb1d429d388587db17df8031c67b

Observation 384f0f9c-0e8b-4372-b892-6ac092b3aaaa · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.579989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.377005Z digest=sha256:e96437db44f0f1dacd3d18fd1a8c7889881ca6695b30d5f0306151670acde01c

Observation ebed82c9-4125-4de4-8d1d-be383e17fce4 · outbound

This paper cites Magnus, A.

Deep neural networks, generic universal interpolation, and controlled ODEs Magnus, A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.565010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.381008Z digest=sha256:ab8e022bdb1a6afb5e7930f8a2c7b414615b663cd9e76850e7cdab9e78cd0460

Observation f5f47e20-db6c-4b0d-adad-a2b0309d660b · outbound

This paper cites Montgomery.

Deep neural networks, generic universal interpolation, and controlled ODEs Montgomery

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.549889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.385611Z digest=sha256:93e3301dcdc90441210c29dc33c8014362184a82b20f819ad645da64ff64461c

Observation 4c0f0d76-8bdd-4957-8987-6b4e19d894ac · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.535088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.390369Z digest=sha256:10090f63de0a05e7ddf885b47e2d4d1c51abfec81098ca190acbfa51376ed519

Observation 09165ce8-c81f-4353-93f4-4814e2341db8 · outbound

This paper cites Approximation Capabilities of Neural ODEs and Invertible Residual Networks.

Deep neural networks, generic universal interpolation, and controlled ODEs Approximation Capabilities of Neural ODEs and Invertible Residual Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.394919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.394919Z digest=sha256:7491532188cd23d1b4ef0680b91deef35ddbea55751d110a9242db2b556044e3

Pith citing papers

Observation 686d779b-27c3-4adb-8bf4-d6950a8b51de · inbound

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces cites this paper.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Deep neural networks, generic universal interpolation, and controlled ODEs

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-01T03:42:48.110139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:42:48.110139Z digest=sha256:61261ef7fa654b04178d8006c327210de6cc0687600a731bf77f6395350a7cbd