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Paper Citation Record · LEDGER

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2501.18563.

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

pith.paper-citation-record.v1
2501.18563 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:02:42.047935Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:51:28.867971Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:51:30.765452Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 823c3ecf-72ee-4a02-8149-c8221bc3f4f8 · outbound

This paper cites an unresolved cited work.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:02:47.008155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.928784Z digest=sha256:ef946d7b6d77223f1574df314e13d7a449ee7e504c041e41d5967192403b6b1b

Observation f103717b-774e-4309-9654-691abebfaa98 · outbound

This paper cites an unresolved cited work.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:02:46.969222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.936398Z digest=sha256:a06529eb2475ac12d6b4338578c5604394a1c299e4b0be12fb3c1d2a41ef49f7

Observation 51ed545c-e369-4606-ad9c-cd36b7d2ae8f · outbound

This paper cites an unresolved cited work.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:02:46.936681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.942876Z digest=sha256:88a8e38d037fd4c331b7b82a8455dcea9409fd3fc5141ddacbbd404239fef57f

Observation 186e63f9-7f34-4c8b-9dbf-aa7a4d63ebf2 · outbound

This paper cites an unresolved cited work.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:02:46.905522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.950565Z digest=sha256:21bcf1db79655dfa494db2ad45e7734eb6c9490b3fc668b2e2641fc49e6e57a1

Observation a45c071c-f336-4238-9131-5b9fc9b802fa · outbound

This paper cites an unresolved cited work.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:02:46.879297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.956408Z digest=sha256:d2c8e5dc72f969ed549abb3084ebe3f269b92429d9565a47db6cfc8ca0cf115c

Observation d51a913a-af06-43ea-8c1d-3a50da30eeac · outbound

This paper cites an unresolved cited work.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:02:46.847086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.974091Z digest=sha256:0ae14e81c78f2ec16967f1955d57d2cc36ac4a992ef1d39aff622c8b8fb2573b

Observation 376c2f00-582a-45ea-9662-0687217fc8ce · outbound

This paper cites ϕ on i has a motif s.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs ϕ on i has a motif s

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.815589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.984921Z digest=sha256:1672ea1deca42a9c37e6d932f250a83848a990d4e73bfc7657657390e2cdfe72

Observation b72deaf4-5e8a-4207-a1fb-8d17d6429085 · outbound

This paper cites β0 = u0 (11) β3t3 1 + β2t2 1 + β1t1 + β0 = u1 (12) β1 = u′ 0 (13) As in Table 9, we denote u(t1)−u(t0) t1−t0 as κ.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs β0 = u0 (11) β3t3 1 + β2t2 1 + β1t1 + β0 = u1 (12) β1 = u′ 0 (13) As in Table 9, we denote u(t1)−u(t0) t1−t0 as κ

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.788270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.995727Z digest=sha256:c001dc5e9eb0ea8d03741c97156620c0927a910a2fddbe9e13323f0baf1cf700

Observation ce8e788f-31a8-4774-83c6-5a17966ccbb4 · outbound

This paper cites asymptotic doubling time.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs asymptotic doubling time

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.756060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:42.005583Z digest=sha256:e8f7ca27e518b1e386af4904b8c988d77e347b5f2f3566740b0ea3d912e43aa3

Observation 8cb718c5-5039-473a-ade0-f73e014cbd4b · outbound

This paper cites half-life.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs half-life

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.732617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:42.017640Z digest=sha256:ea96526516bc9f6cf28229de01443debc3358cd159bb9683e4b66802b4e8d60f

Observation e92ff81f-d605-4f28-ac28-9431eb7d1a87 · outbound

This paper cites In the WSINDy variant, we choose the maximum number of terms during hyperparameter tuning (between 1 and 20).

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs In the WSINDy variant, we choose the maximum number of terms during hyperparameter tuning (between 1 and 20)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.656890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:42.040729Z digest=sha256:157a5623a3447e88ae1ca2be7dd83e7d7d23e0cdec5f84a429629bcca3e97e52

Observation e37a6e66-f7b5-47fe-8027-b143d61390d5 · outbound

This paper cites Finally, we add a Gaussian noise with a standard deviation σ = 0.01 for the low noise setting and σ = 0.2 for the high noise setting.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Finally, we add a Gaussian noise with a standard deviation σ = 0.01 for the low noise setting and σ = 0.2 for the high noise setting

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.707500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:42.026670Z digest=sha256:b8dc059b4d2938eb04e268366cbf380e2e47f40c6f62abba2b283b2f98210869

Observation 04ba7f6d-b4f7-4e48-b721-8c1027cb0020 · outbound

This paper cites We then solve the initial value problem to obtain a trajectory for each.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs We then solve the initial value problem to obtain a trajectory for each

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.686566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:42.034118Z digest=sha256:ff734b0c519856cc70d23cac2dfa7d4864f3a4bb4f56ddfaf7def93ba19ce2ac

Observation 926430ad-93b4-4c89-833f-0ed5603d7ffc · outbound

This paper cites 11 Published as a conference paper at ICLR 2025 Ricky T.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs 11 Published as a conference paper at ICLR 2025 Ricky T

Reference 2016

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T23:02:46.579419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.909587Z digest=sha256:26de3a087015e4998992055c823f0d9e4e8bd5fa4316be14f53a0ef2a250fa19

Observation 47b78a4f-8cf3-43ab-b82f-402cd9b0c2d4 · outbound

This paper cites frequency.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs frequency

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:02:46.613617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:42.047935Z digest=sha256:1871846bca7dfcc973a9ddd5b44fa7c2fb7a6f6103e249c022933b04f6500fb5

Observation 84ca7595-5396-457f-9ab3-cdd6c974b531 · outbound

This paper cites doi: 10.1103/PhysRevE.101.010203.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs doi: 10.1103/PhysRevE.101.010203

Reference 2020

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T23:02:45.874917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T23:02:41.919102Z digest=sha256:d56f43183f865040a7a62bf4d3a2e849e59420269c0395132d75e61f15f262f5

Pith citing papers

Observation 8c43ec56-8390-4906-88ad-c1a4204a26bf · inbound

Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time cites this paper.

Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:51:30.848952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:51:28.867971Z digest=sha256:59568c2a474f99c81443bae44b74f7711c424cf7e27f02848bcbb47c1aaf4fac