Pith. sign in

Paper Citation Record · LEDGER

Learning with Expected Signatures: Theory and Applications

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2505.20465.

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

pith.paper-citation-record.v1
2505.20465 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:11.686603Z

measured 43 of 43 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:28:16.659393Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:55:51.791695Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact7
  • verified fuzzy11
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc54ae28-f87d-4317-bbf1-20b1c92bb326 · outbound

This paper cites write newline.

Learning with Expected Signatures: Theory and Applications write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:07.357305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:07.357305Z digest=sha256:98c96fa563db257b6337468c430f82ccfe708ee6f4e28a0cc5fe3c29e88ca0b8

Observation c76b4497-4598-41d4-8076-9d8b8f03c3d9 · outbound

This paper cites Deep Hedging: Learning to Remove the Drift under Trading Frictions with Minimal Equivalent Near-Martingale Measures.

Learning with Expected Signatures: Theory and Applications Deep Hedging: Learning to Remove the Drift under Trading Frictions with Minimal Equivalent Near-Martingale Measures

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:07.500432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:07.500432Z digest=sha256:e37313434a832b49a65f3b408a188970ff80d1ebb19e6b96c5faffb820ed4a18

Observation 82900f1e-a9d4-4e07-a1fa-8de8cb82989e · outbound

This paper cites L., Davis, B., and Gundy, R.

Learning with Expected Signatures: Theory and Applications L., Davis, B., and Gundy, R

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:07.611972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:07.611972Z digest=sha256:02277ad6b34542417e8ca9a9ff8039cc455f8e4d24a72f48def618ca3a48aa11

Observation 5fe918ae-a4e3-4c21-b067-486dafc1051c · outbound

This paper cites Iterated Integrals and Exponential Homomorphisms.

Learning with Expected Signatures: Theory and Applications Iterated Integrals and Exponential Homomorphisms

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:07.725428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:07.725428Z digest=sha256:91a91191569557c6e1a50ac593af19e2cae03a839ab5dc234607d9ea59418491

Observation 49ab6ec5-f1e4-403f-8b7a-cccb61252501 · outbound

This paper cites and Lyons, T.

Learning with Expected Signatures: Theory and Applications and Lyons, T

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:16.786310Z

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=2026-08-07T14:07:07.835906Z digest=sha256:723ba6cc85ef65d6ed61a95ca744bb203496eec5a6f0e792564b5ad88a999c54

Observation 5ae5aa2f-fd4a-474d-99ad-4bda7103a2fe · outbound

This paper cites Signature moments to characterize laws of stochastic processes.

Learning with Expected Signatures: Theory and Applications Signature moments to characterize laws of stochastic processes

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:07.916882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:07.916882Z digest=sha256:2cdc399612498cc62a9dfdd5903e605ec7f43d42c1779e1b37ecc465887634c6

Observation 25a74cda-2c58-4808-a223-2b516a1aaab4 · outbound

This paper cites and Qian, Z.

Learning with Expected Signatures: Theory and Applications and Qian, Z

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:08.008504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:08.008504Z digest=sha256:77d54fbcd59a7d3070f189940cce2c510fddc3fc77df3a14325f42bdc20ad314

Observation 8d8f7a52-c825-4e9e-8f7a-e50e19225ab4 · outbound

This paper cites Signature SDEs from an affine and polynomial perspective.

Learning with Expected Signatures: Theory and Applications Signature SDEs from an affine and polynomial perspective

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:08.151310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:08.151310Z digest=sha256:39ef7a3d49d4ce8663a3d85fcb032f45c79c7a969591571998b418ff3b0fecde

Observation f492f5dd-1915-469d-9303-a31667df4033 · outbound

This paper cites an unresolved cited work.

Learning with Expected Signatures: Theory and Applications Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:16.626460Z

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=2026-08-07T14:07:08.275328Z digest=sha256:c58a89f74153460b4f295228fb2d16a4f1470d96bb900a64a927ee49353058c7

Observation 4f731b95-0c43-4a86-bcd5-7a72b27e893b · outbound

This paper cites Problems in stochastic analysis.

Learning with Expected Signatures: Theory and Applications Problems in stochastic analysis

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:16.468410Z

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=2026-08-07T14:07:08.401474Z digest=sha256:c3b15c6b94cbbaa59441e0d44228eb4fbb8cdf36d9273335f83163bf9cbb0647

Observation 8e92178f-2036-49de-b4f5-e3ba0612cc8a · outbound

This paper cites Partial Differential Equations of Parabolic Type.

Learning with Expected Signatures: Theory and Applications Partial Differential Equations of Parabolic Type

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:16.336811Z

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=2026-08-07T14:07:08.480635Z digest=sha256:984e44a13c443f03be1916ac4d29fecf1ef6fc91efc9610fd2dce1bc09673ed5

Observation e7b91b7e-3221-4b9d-b3b4-7ed2aa3d75dd · outbound

This paper cites an unresolved cited work.

Learning with Expected Signatures: Theory and Applications Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:16.168842Z

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=2026-08-07T14:07:08.559522Z digest=sha256:0b54aca8504c607604e0931395b7f4cea6d04b89ca63dd7355455232db0dfe71

Observation ae5af2bf-057e-4d3e-b718-64e27453a414 · outbound

This paper cites K., Hager, P.

Learning with Expected Signatures: Theory and Applications K., Hager, P

Reference 13

Resolution
verified exact
doi, observed 2026-08-07T14:07:12.730932Z

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=2026-08-07T14:07:08.696261Z digest=sha256:bc977f77b5c0f098bdc5f578e3d1e066732cb7b789b49e001fd7c68a86afc194

Observation 40f1189e-2d85-4b69-ab43-e8c2432ed8dc · outbound

This paper cites On expected signatures and signature cumulants in semimartingale models.

Learning with Expected Signatures: Theory and Applications On expected signatures and signature cumulants in semimartingale models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:08.831852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:08.831852Z digest=sha256:0b2940c2b9844000db84314cd07a92e9bb047abac74e25bfabdc7bec00a0d286

Observation 27f1aa0d-87cf-4b2e-b3c4-8719dadf9d9e · outbound

This paper cites Signature Trading: A Path-Dependent Extension of the Mean-Variance Framework with Exogenous Signals.

Learning with Expected Signatures: Theory and Applications Signature Trading: A Path-Dependent Extension of the Mean-Variance Framework with Exogenous Signals

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:08.925177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:08.925177Z digest=sha256:3c4263b9bcd305b18e204b08d40182e587cda6c35f2c8d68b2b44fbf722f83d8

Observation 9ced5659-5ddf-4189-b3fd-1c86335b1ea9 · outbound

This paper cites Sparse arrays of signatures for online character recognition.

Learning with Expected Signatures: Theory and Applications Sparse arrays of signatures for online character recognition

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:09.039169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:09.039169Z digest=sha256:598432fd637d42fb41054e8063d5310ddb46ebf31e580dcfc23c0f9ab4677345

Observation a9cd7eea-12c7-46d0-a92d-e0da1aef871f · outbound

This paper cites and Lyons, T.

Learning with Expected Signatures: Theory and Applications and Lyons, T

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:15.937255Z

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=2026-08-07T14:07:09.150162Z digest=sha256:b8cf81bbc23748e50419809b6e05ba15ec3b658937f920c64d56ee04a312fd38

Observation 9c2e301a-8e29-4fbb-bbb8-307d379344ac · outbound

This paper cites an unresolved cited work.

Learning with Expected Signatures: Theory and Applications Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:09.319040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:09.319040Z digest=sha256:b3c242c93c04076bbc28bc9653bc16c89b619ce1a5447dd183566cc8d732c066

Observation 4b07ec02-bb52-412f-ac5c-fb11da745f66 · outbound

This paper cites On a Formula for the Product-Moment Coefficient of any Order of a Normal Frequency Distribution in any Number of Variables.

Learning with Expected Signatures: Theory and Applications On a Formula for the Product-Moment Coefficient of any Order of a Normal Frequency Distribution in any Number of Variables

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:09.431670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:09.431670Z digest=sha256:c792a8209693d9e20aa70af00d3ec79d85307b04fa39a7102c08cf3afd6f11f2

Observation 9a30b597-c33d-44d1-872a-713047cd796f · outbound

This paper cites and Shiryaev, A.

Learning with Expected Signatures: Theory and Applications and Shiryaev, A

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T14:07:12.499997Z

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=2026-08-07T14:07:09.593471Z digest=sha256:58172088c3df89d2aa2df284aeff5ca037e25c886b8cca54d7d53d693d79ee27

Observation 15d00abe-0ddc-43be-ab84-6a7204327ca8 · outbound

This paper cites Foundations of Modern Probability.

Learning with Expected Signatures: Theory and Applications Foundations of Modern Probability

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:15.720092Z

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=2026-08-07T14:07:09.714750Z digest=sha256:9377526c219bfe3417df0f9e89532dfac67ccaf13e072ce53bd045d88890e40c

Observation 3ba781c4-a6d2-4334-ac35-6f0192617b63 · outbound

This paper cites an unresolved cited work.

Learning with Expected Signatures: Theory and Applications Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:15.581080Z

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=2026-08-07T14:07:09.788000Z digest=sha256:ffbb5fa9cac822913b8ad0209789b8c7a34b8f2e50a4fca3da67403e7b6b8c45

Observation d2c8a1da-b66d-4441-b77d-a6bfc9753e4b · outbound

This paper cites Ergodic Behavior of Markov Processes.

Learning with Expected Signatures: Theory and Applications Ergodic Behavior of Markov Processes

Reference 23

Resolution
verified exact
doi, observed 2026-08-07T14:07:12.304651Z

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=2026-08-07T14:07:09.888586Z digest=sha256:46483e684d3a533c9ac43d71e052c898a713c80bb6a68541f718e42e91da6516

Observation 987e8d34-ceb6-4b25-a0ba-c1ddff30b850 · outbound

This paper cites A stochastic sewing lemma and applications.

Learning with Expected Signatures: Theory and Applications A stochastic sewing lemma and applications

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:09.981351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:09.981351Z digest=sha256:bc54ae83663e5e2929492b5cf09a5e66bacd65f741687b6381859a69a5838e2e

Observation 51b27883-8215-42a0-a381-6b0ce4be266f · outbound

This paper cites V., and Lyons, T.

Learning with Expected Signatures: Theory and Applications V., and Lyons, T

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:15.366183Z

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=2026-08-07T14:07:10.068250Z digest=sha256:01cf96613e49b86edae88aa42784ccddc471a1d018b82edf4818c59f02a6b389

Observation f6b314ad-6b08-406f-a7a0-65967927e34f · outbound

This paper cites Learning from the past, predicting the statistics for the future, learning an evolving system.

Learning with Expected Signatures: Theory and Applications Learning from the past, predicting the statistics for the future, learning an evolving system

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:10.195825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:10.195825Z digest=sha256:85ad0ce26d4080a735859c45005ec930f8d7e197c22cf5145beacea300db570e

Observation 4b8bccef-6afc-45d1-823d-2b15ef2c9fb7 · outbound

This paper cites Estimation and Inference for Multivariate Continuous-time Autoregressive Processes.

Learning with Expected Signatures: Theory and Applications Estimation and Inference for Multivariate Continuous-time Autoregressive Processes

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:07:13.761775Z

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=2026-08-07T14:07:10.291735Z digest=sha256:f50d2e2f3816e74c38fd5c605afb330d64cd77fceb16dd187a2020b4bcff16c3

Observation 16e7fad3-342f-4ac9-a488-742e04beb8e4 · outbound

This paper cites Signature Methods in Machine Learning.

Learning with Expected Signatures: Theory and Applications Signature Methods in Machine Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:10.548836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:10.548836Z digest=sha256:c71e168d8ed0d468ea3ee02c68f5ceb4b819d5af778fe1b8c4672e3081c55280

Observation ff5bd2f0-4ef0-47b5-8d22-2928be2571b3 · outbound

This paper cites Differential Equations Driven by Rough Paths: \'E cole D' \'e t \'e de Probabilit \'e s de Saint-Flour XXXIV-2004.

Learning with Expected Signatures: Theory and Applications Differential Equations Driven by Rough Paths: \'E cole D' \'e t \'e de Probabilit \'e s de Saint-Flour XXXIV-2004

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:15.204750Z

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=2026-08-07T14:07:10.632317Z digest=sha256:9b3e04d8a3fb02c26a74172f43231a2bdfb2bd0a54fd5c8bc7a55865c9e80ad3

Observation 22dcbb79-3760-4ef9-99fe-c82c875997f9 · outbound

This paper cites Non-parametric pricing and hedging of exotic derivatives.

Learning with Expected Signatures: Theory and Applications Non-parametric pricing and hedging of exotic derivatives

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:15.035138Z

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=2026-08-07T14:07:10.728668Z digest=sha256:a21d026ee39c51e02bb8b6d9523d7263627dfae14195cc3e066e59a5ab84e114

Observation 7cecbf0e-984c-4598-9108-e7bf12eca3a2 · outbound

This paper cites an unresolved cited work.

Learning with Expected Signatures: Theory and Applications Unresolved cited work

Reference 31

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:07:13.552469Z

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=2026-08-07T14:07:10.827374Z digest=sha256:ec6dbf90629e7229a93830cd4f2d99630f9c9fcf01810ab79574c726e1e0abc5

Observation d4187cc2-ce2e-480c-a923-af107e219ae4 · outbound

This paper cites and Stelzer, R.

Learning with Expected Signatures: Theory and Applications and Stelzer, R

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:10.938652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:10.938652Z digest=sha256:6230e839cea83396c763a0eb3b69e630827c01884fbf3cf5293f156098fe678e

Observation f2c40589-1a3c-41b6-b6b1-295ce02aa7e6 · outbound

This paper cites an unresolved cited work.

Learning with Expected Signatures: Theory and Applications Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:07:14.864468Z

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=2026-08-07T14:07:11.019449Z digest=sha256:23327973af58be38728eb5dcef84a0bf1d7f9408ca8655a4f9806c53332bb2f3

Observation 5292b066-dc5a-4085-b142-1f788d0567a1 · outbound

This paper cites The expected signature of a stochastic process.

Learning with Expected Signatures: Theory and Applications The expected signature of a stochastic process

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:14.700645Z

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=2026-08-07T14:07:11.093317Z digest=sha256:fafa175c343e2aa05d8ce8f12c3511231ccc500a5bc61beda31d1cda54d9d62a

Observation 036134a4-c117-4cbb-afcf-dbb762a8f70d · outbound

This paper cites On the signature and cubature of the fractional Brownian motion for H>1/2.

Learning with Expected Signatures: Theory and Applications On the signature and cubature of the fractional Brownian motion for H>1/2

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:11.204589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:11.204589Z digest=sha256:f13433dfe5a5c4addf4002bad454e74f6b52e5ee67528c6eb9298f478051beb3

Observation db3e2a7d-d444-40a4-bdcd-3b12295f47aa · outbound

This paper cites M., Geddes, J.

Learning with Expected Signatures: Theory and Applications M., Geddes, J

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:14.527039Z

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=2026-08-07T14:07:11.287851Z digest=sha256:87ba57e2e44ac8861239d9edf90bfbbddde520e0d23d5429341143ad4295be30

Observation 2fa4259e-0238-49ab-9306-c3f13fa23f2c · outbound

This paper cites The Signature Kernel Is the Solution of a Goursat PDE.

Learning with Expected Signatures: Theory and Applications The Signature Kernel Is the Solution of a Goursat PDE

Reference 37

Resolution
verified exact
doi, observed 2026-08-07T14:07:12.065536Z

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=2026-08-07T14:07:11.354246Z digest=sha256:586cfeba2979b5d13304e776dbdfa3f9dce9d1a2b1a7dd3ce3cfd8218cfd9734

Observation 61197335-2149-41c0-b9fe-5f7619a25f5f · outbound

This paper cites and Oberhauser, H.

Learning with Expected Signatures: Theory and Applications and Oberhauser, H

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:07:14.346553Z

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=2026-08-07T14:07:11.428938Z digest=sha256:788be0f98f94b241b2674eae3667fae72059ab9c45992d123928bdf5c79fd827

Observation 7db82a79-c10f-48b1-9e88-744d1747ce1c · outbound

This paper cites and Romito, M.

Learning with Expected Signatures: Theory and Applications and Romito, M

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:11.531330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:11.531330Z digest=sha256:81c3778f7ab6d0467237f8dd47a10a87aed57192c72cddc7698d906a00a561f9

Observation 2ec8d479-c096-4ed6-9ce7-7fa4e99cd7b6 · outbound

This paper cites an unresolved cited work.

Learning with Expected Signatures: Theory and Applications Unresolved cited work

Reference 40

Resolution
verified exact
doi, observed 2026-08-07T14:07:11.878674Z

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=2026-08-07T14:07:11.600952Z digest=sha256:1979204768c608182dd99acb2c3b3029e20240d1741d6bc8062f0175b8a4339c

Observation 49892c51-86ca-4240-906a-a80efa85f075 · outbound

This paper cites Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition.

Learning with Expected Signatures: Theory and Applications Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:11.686603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:11.686603Z digest=sha256:0f81a63d9e2b5b09963a67864cb4bec38237d9e990289fdc9213a788579658d4

Pith citing papers

Observation 1311cc44-4422-43d9-a96e-a8ea20116bb9 · inbound

Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions cites this paper.

Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions Learning with Expected Signatures: Theory and Applications

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:49.988242Z

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=pdf_text observed=2026-05-10T19:28:16.659393Z digest=sha256:1d662310e113180fe886d996f9e1c2ea0e2995d738efb7679709f1c57b26b27c

Observation 801f5c23-8fd2-4934-9876-b6ef1faa40b9 · inbound

Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcus-Signature RKHS cites this paper.

Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcus-Signature RKHS Learning with Expected Signatures: Theory and Applications

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:51.795798Z

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=pdf_text observed=2026-05-10T19:27:38.760443Z digest=sha256:8a06562a760bcf6c63fd435fb833401a87f4c4e5708976ce7af792b34d83976b