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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.300868Z digest=sha256:99d92aa76b5194e542588d4734a909853e124d4720320542989b505486890f87

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:c91ef50ab4d0788be064b09758d0dcb3a73ed9e91e200b121be11e2e3166d2a1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.311830Z digest=sha256:4af3cfe08d6a6770f1c0d211ad3d36775bcf6656c65ad0af4bb27538a751437f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.316814Z digest=sha256:ed194ef4b2b7a795a759e0ec695679e2bfdfffebfbf8472908620d2ad4118fa4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.322000Z digest=sha256:4dec09e5d394ae57c849f64195ea81ad4d308745a8f18dde3f3bcbb21c501ced

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=sha256:30114b9b52ceebdf0fd145bf6dc676ae6b40c9d68c43d48e281a86594c66cff1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.337496Z digest=sha256:f72c887dedfa25c3df42274d92530a95b28a7805c9f78fff132778e6a641d296

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.343147Z digest=sha256:7d2dadd83ea36754749c2062f1b51431c5a7c47354f9b61c9222ad8ca3b84f71

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=sha256:7ea7fba88ed1623840e1b8b261c3fa10ceb48b0dbb78f557a317e6ceabfadcdb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.352505Z digest=sha256:a46a87c11babb1d0042b01bddeec761286fee57294b9df0e4cfdf1b9c65fa4ed

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.356934Z digest=sha256:db7527f5947797a82a9cd6af376d37fa4c6082d2c5edda63ac72562e16917916

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.360886Z digest=sha256:7da94ccddb9a36ca4fd4ef971eff1b3df0b2d27cd09a52cccf8d98945e30cbff

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.364787Z digest=sha256:0fce24aeef10623a682d48b9d8e3bf766e7307d2430ad41d4c0fe894d5ac4b8e

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:f08ad0acaba9bcd5f65102f711b856bf5fbfe9c35f2f5eda0427da74007707c3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.372800Z digest=sha256:37bec5146c4098a241df897e88d184db410c13c166531fb8fae28f7ff671bc6a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.377005Z digest=sha256:43ae857ee3f69166ac2c48f9735312be37e8c05befb7ddb7ed0852b9d8455d72

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.381008Z digest=sha256:7de7118db10551f4fd2e0a6be392b46678e0c62cec4a67b41b232ecaec33eb8a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.385611Z digest=sha256:be51ebe2adc9db0cfc3635b91c83e28758b404f0f3bec7b0d3203117037f5df0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.390369Z digest=sha256:f9b8d879a94eefc5ed4f30592179c887b89fcef52bcc216222003d23e70978ed

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:e05b142f4761f4af82e9369ae41eac88c381f9f3f6d476a8ea589a61035222ca

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:dbf7b8193925ab8fb946147b8c3903e58b8edeb5a580c9dd7ee142f90755431f