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Paper Citation Record · LEDGER

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2509.02267.

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

pith.paper-citation-record.v1
2509.02267 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:49:50.643915Z

measured 40 of 40 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 2026-06-26T11:59:18.223000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:43.723658Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8de1c57b-3262-4d0a-8c5d-a3e029c01386 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.234615Z

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.

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Observation 1acab505-c2d6-4c24-9707-c7032b2f1969 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.220839Z

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.

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Observation 61049cb5-c349-4d96-b8ea-bfea3fd5f651 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.206246Z

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.

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Observation b5fc825d-1655-4075-a14b-c036e1332f88 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.192771Z

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=2026-08-05T11:49:47.987678Z digest=sha256:7c08a3f868b4137ac1b3579083af98f836b2a344eea0b5226680ec4e2e980132

Observation 3a06667a-889f-4082-8431-77c11a8f0a16 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.178403Z

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.

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Observation 9ca79c8d-2601-4561-a4aa-dcac7b4a7540 · outbound

This paper cites Caccioli, I.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Caccioli, I

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.162875Z

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=2026-08-05T11:49:48.143412Z digest=sha256:6f31e2e756c48e3424f38e661d7ab4c7fd9df9e5d8cd84a9c1fed01cba564cf5

Observation 47e469fe-5e4c-4d9c-96ec-1147ac2b912a · outbound

This paper cites Chellathurai and T.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Chellathurai and T

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.149236Z

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=2026-08-05T11:49:48.182071Z digest=sha256:c5db653db23f114cdee09091e711b321f25f9195527928425a03e52800f7f421

Observation b2afd5f1-3990-43a4-bea2-a45b9909912d · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.135874Z

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=2026-08-05T11:49:48.277306Z digest=sha256:330e262d56a5ca6ceb63f09343ab8c25a3b4f221a164660d24e0b5ea48812a56

Observation 02ad0b2b-d9d5-48da-a6e8-98cbf4b756d8 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.121765Z

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=2026-08-05T11:49:48.350212Z digest=sha256:bd562c13aa371dab4504ceb397923e41bf704f5b653d95a9208a7af8a3644a26

Observation e7f514c9-6fe5-4ccf-aa63-99a83446b3ba · outbound

This paper cites Dai and Y.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Dai and Y

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.107019Z

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=2026-08-05T11:49:48.453787Z digest=sha256:830cf83008675123e84c031787683230cb1b1645abff253484025cd81380b8ce

Observation 093af381-de67-40d6-b8d3-14b3939ade86 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.092261Z

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=2026-08-05T11:49:48.531841Z digest=sha256:aecad471ea29743f3022574128a6bb44bd8fdb8a68b2cda65b5638d020a069f3

Observation 309d2411-1078-4b6d-9f8a-d91b544ba387 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.078279Z

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.

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Observation 6529d4f9-58cc-4b54-a07b-d6749e6073c9 · outbound

This paper cites Feng, M.-W.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Feng, M.-W

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.064982Z

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=2026-08-05T11:49:48.707819Z digest=sha256:250fbe9cb3f21962a3da18f9b182eabb39894b4fd8f79df841dca0bece2e3e67

Observation a00313b1-1a6d-4529-9f80-66cf7da7c194 · outbound

This paper cites Feng, M.-W.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Feng, M.-W

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:54.050426Z

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=2026-08-05T11:49:48.786484Z digest=sha256:04586ef92d921ae6724f4219ad4ce2c0fff02505e0adb67e4ebb35fbfe6ee282

Observation a61ae73b-41c8-4317-be39-40b6237cc3a8 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:54.036545Z

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=2026-08-05T11:49:48.914868Z digest=sha256:854179a82a81356d1993ec60f36dfaf128352c6dedf0ae7e09e4ead8531f7b04

Observation ae790629-a77a-4ec4-86f9-5781fa653bb1 · outbound

This paper cites Funahashi.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Funahashi

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.828846Z

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=2026-08-05T11:49:48.993678Z digest=sha256:6e2a21c33464f4e4cf933e242ee5c080ea5f99b86174fe24742fa135c66a7ac6

Observation 853d3a97-644a-495f-acb8-35a67a9d274c · outbound

This paper cites Gonz´ alez and G.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Gonz´ alez and G

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.622953Z

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=2026-08-05T11:49:49.072294Z digest=sha256:0e91e8ab6a2adf59d46cb92a9a9060e8a9193eac3fd4c18f747d2f57ad3dc997

Observation e87517d1-e6ff-4a1c-9af3-2841ae3b6b81 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:53.437093Z

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.

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Observation ac653782-87ee-4645-91b2-9b8bc2346e12 · outbound

This paper cites Grohs, F.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Grohs, F

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.271365Z

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.

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Observation 45964c72-9491-47af-90b6-17636d295cf0 · outbound

This paper cites Ha and H.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Ha and H

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:53.151096Z

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.

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Observation ad052299-0c2a-4c7a-b837-50aaf021ef90 · outbound

This paper cites He and S.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs He and S

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:52.868900Z

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=2026-08-05T11:49:49.348381Z digest=sha256:ffc1b2d11a680d3b3d22b2b1f9aac039e841e57d0211bcf465c13996e01a26d8

Observation f5924618-cbe5-4195-8085-75b5262b4414 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.748352Z

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.

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Observation 821bcdd9-8b0f-491e-a701-81899f4af274 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.545883Z

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.

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Observation 166a1250-4fe3-4b40-a81d-909ca3e6f2fb · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.355347Z

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.

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Observation 7296f410-048d-4445-bac4-5a53fa38f647 · outbound

This paper cites Kerimkulov, D.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Kerimkulov, D

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:52.199677Z

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=2026-08-05T11:49:49.682648Z digest=sha256:fb053506ad0ead933fca130d63cf23ffbbee4a7f4f4bad201b995eea9d33e0d7

Observation 0543527d-6fae-4cc6-aba1-f9554410fef0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Adam: A Method for Stochastic Optimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T11:49:49.757086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:49:49.757086Z digest=sha256:a0f6379e486d9caaf51d3185f69393157a94f75dc8c9408e6ffe980c9506e411

Observation f8e6b0f2-e3cd-48c9-a12c-48d53dde66b4 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:52.150840Z

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.

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Observation 5a4e60e8-91bc-4531-8cbd-fa09f7343940 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.972111Z

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.

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Observation bc613bf0-89b0-42ab-b935-bbcb5c9476b3 · outbound

This paper cites Ly Vath, M.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Ly Vath, M

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.813468Z

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=2026-08-05T11:49:49.931836Z digest=sha256:afed5211b4e7af29114315be925333753c7ca5ff0539ae671e88aebf7a1f9a10

Observation d52ad5f9-54cc-43f2-a733-efeae89052dc · outbound

This paper cites Markowitz.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Markowitz

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.690230Z

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=2026-08-05T11:49:50.034115Z digest=sha256:74ea30cecd10009a931b6b60041b1ff70c4f809fddf919b2198cf2d6cf176708

Observation 6e698d7d-70ef-42ba-8fce-6043814633c4 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.555549Z

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=2026-08-05T11:49:50.106625Z digest=sha256:c7a6d05e741e412704caa53bdda528defb271f24cbe5efbc9ceb3e83413b950c

Observation bac3ec95-ccdb-4594-bb93-80e7a3c23fe8 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.438626Z

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=2026-08-05T11:49:50.192251Z digest=sha256:0fea9fe5d4c720d964baf6580022a2ce4ba7c8b3156fd0c0443bda0d24225e2f

Observation 3f33938d-da8d-42e2-9656-257c7ed24373 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:51.299291Z

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=2026-08-05T11:49:50.284669Z digest=sha256:a11426a4a539b6571192d58050eb5310b99ed9f2eb65e27df0fc66b4bb80a022

Observation 106c1a42-fd9f-4a3d-81d0-5956621d6fb4 · outbound

This paper cites Pasricha, S.-P.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Pasricha, S.-P

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.202945Z

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=2026-08-05T11:49:50.338902Z digest=sha256:7457807350c30de6a2c55e52cb4b76ef95bb7bdacaaf7f20d034e8f02346d30a

Observation ecc0c938-887c-43b1-8a57-a6449d35d5a6 · outbound

This paper cites Patel and M.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Patel and M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:51.109222Z

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=2026-08-05T11:49:50.367721Z digest=sha256:9e2a72540ef3f6633711c839f78ea6cc0ecc402651de5a290b59bc021e22cabf

Observation eac20679-221d-4afe-a1b4-d63400572dc0 · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:50.971265Z

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.

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Observation cb8fb4d8-293f-4659-9228-6ac29899517f · outbound

This paper cites an unresolved cited work.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:49:50.901795Z

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.

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Observation f09d1e49-a8fb-4766-8c80-516763ac888f · outbound

This paper cites Raissi, P.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs Raissi, P

Reference 38

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18450a4b-f3be-4522-bb6f-445396a16b14 · outbound

This paper cites W ANG and S.

A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs W ANG and S

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:49:50.799531Z

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.

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Pith citing papers

Observation 04c12d0c-ce18-4373-bfe1-5e6fa0c88265 · inbound

PhiBE-Q-Learning: Bridging Off-Policy Reinforcement Learning and Continuous-Time Control cites this paper.

PhiBE-Q-Learning: Bridging Off-Policy Reinforcement Learning and Continuous-Time Control A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:43.725204Z

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.

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