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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.928784Z digest=sha256:adba6315c5c12219d5c3cb182639e5b958e9683b6d05a7aa8d9f17f8ce80772f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.936398Z digest=sha256:e54fe238ab7f2c72743ff4af555713913edfa4f9e35485d9d43dc8316a28ceb0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.942876Z digest=sha256:30d5c85a6e19eafa74639e9d0c465f9296a9f9c4fd09c624ff7dab0b582dd8a7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.950565Z digest=sha256:2abe661abe9ab6d7edb1dcb310f9341f26a3f6493c2499b67ecae1f477f1a8c0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.956408Z digest=sha256:ab54c1eb129069e04a8a7d381c28443a784283e88528ae8b1a9006c2c49bf1dc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.974091Z digest=sha256:5eb6898b1f9f45c9b5d5ed97da3e6609f4796eae1192dd0c34022b833ca939a9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.984921Z digest=sha256:a2fff3a93c14fa1b1f105309cfa9f2a5b90cba0fd89d7d8bf66b3b41aabb19e7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.995727Z digest=sha256:dce0c625fd4624840f369270d133b983646d11c95507d5fbee7414b4c4322861

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:42.005583Z digest=sha256:934fb6c2d428b0c9ab93d491047fc4637fcd2d69716c5b5098051396fc5f73d3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:42.017640Z digest=sha256:b656ab18cad437477fe2c2ddcc4b141b15c11c54cabe30c7276760e2a1796cb9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:42.040729Z digest=sha256:10ea92ca8a2325aebc9e3656688765b20b9fcdf2e96749cc052c6a3fe03238d9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:42.026670Z digest=sha256:ef6c95ace79478cf22c99902ea3607637f856323b8b48b9484eeaa7ac7c295cb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:42.034118Z digest=sha256:c6fc618369bd590d5a54af6703fd02ed2d7b93210b996875f73c61dbf9731208

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.909587Z digest=sha256:29f4b2dea64da781a5aacf4cd1bfc7f08a628f7d9ae9032f78021451a8cd50b3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:42.047935Z digest=sha256:f7ca859562a1696f467576fad2007e3dbe2fe0f6d3faa0f202c33ca03c8d752c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T23:02:41.919102Z digest=sha256:9b325e5265d03f0e7193ea2255fe559546a9d339a0797f4b475034fc639ea455

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:51:28.867971Z digest=sha256:28a3f2cc0154d5039847fd501e0176e284782cc23e277e8f4906c4d0ca56021c