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Paper Citation Record · LEDGER

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2502.02619.

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

pith.paper-citation-record.v1
2502.02619 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:52:42.597013Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d75b1230-7c2f-427c-a3ac-950da82b4029 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:43.058221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.451514Z digest=sha256:8e79f303379dd4ca685d6776997819755a90d8f50ab929799cafddce70a6bb25

Observation a244a44d-907e-4826-9729-fee408baa35f · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-09T12:52:43.049262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.455751Z digest=sha256:63aedc0e02f056a45de9413e1870e9e8a7d4cf45172f517218c7a8f16ad0e68d

Observation 898debbc-6d11-4cbb-a1b3-ebabc944ffa8 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.459404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.459404Z digest=sha256:a6c164e13132841386cbfef546bdcf365cb554921b2b4308cf7f822b03a77d25

Observation 2a51b0b1-7d80-451b-9f91-a25b02e86840 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:43.036044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.462933Z digest=sha256:a11012cf150882b8edc9f90452decfbe779328902ce8fa37b81f4658400a7589

Observation 69b08761-0c33-4ac8-849b-0fefd63f38bd · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:43.027988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.466551Z digest=sha256:641a33290999408dbc08a6b020aa49d8c7ec994d4473c87f2ddb1d85bdcf175d

Observation ca42f368-2f37-4abd-891f-bd2c840819a7 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:43.019803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.474020Z digest=sha256:8b90295bb3dd589c189baee84fb2687bf3abb7890440a2a1e3f309c8fc092d4e

Observation f2123caf-c6e9-4038-a157-c3a995d2320b · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:43.011247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.477421Z digest=sha256:a40f40d8478e00385b8bec4bb8d52e344b24d9af32b679bafb84c2e7c5bee499

Observation 21320991-5995-464d-b363-f78e8e3fcc16 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:43.002856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.480572Z digest=sha256:c289683c1a2bd1d0fcfc635fc0ff9870f82f6447d81dfdfdd6c9ac14429de00e

Observation d53d6cd7-e91e-4dcc-8657-4f874b3f2e3e · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.994262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.483931Z digest=sha256:273bb06dd5db50a94b15b976a64bfa48db7286f8ec71d108ee1d40444353af6a

Observation 0937de1a-1a26-4fcc-a343-1263d1aa51ca · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.985344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.487133Z digest=sha256:837367e32bf6d43e1ecabd83ee2e6a1346a1f6c991a311efe7df3c75b40b43fa

Observation b55ff14b-abc6-49f3-98d5-79323aa886f7 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.976825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.490503Z digest=sha256:41858deadc054841af5d11ab3274c317e37e18cf990bc9766a0b9af8532a421b

Observation fef491cb-1c7c-4e5b-8f8d-21f136fb6ce7 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.967918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.493821Z digest=sha256:7ddf86c20b786f9ec365ec3df47545ce81f180f8df1efa8497f605b0fd31fa6f

Observation f2fbbfae-cfe0-4940-9477-f13db11c25a9 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.959095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.496917Z digest=sha256:9b3b74df309b03f37296d9bce7195571e769f9337dc6b53a390ab202c49149f4

Observation 3c3fb25a-874f-45e5-9881-16be6504df52 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.949939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.500005Z digest=sha256:152377ce00caec56edb2d11a5cc2fb6202b61e6b69e86bf202e1eb15bfa6a403

Observation 7512bf41-991f-4594-a62a-146223012a6f · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.940700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.503088Z digest=sha256:2556fce90964275c3e50aae221716fde76d7f12c04ad063226fcb8b1da5c6f99

Observation ed9f693d-f8d0-4594-a052-f684586d0690 · outbound

This paper cites predict, then optimize.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards predict, then optimize

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:52:42.931812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.505984Z digest=sha256:db791ec5b83539658b28826bf3170263dc9b7d1a22d72327640f4a284f1688d0

Observation e8e71db5-723b-4cd6-a706-54d3db6846b7 · outbound

This paper cites Learning Robust Rewards with Adversarial Inverse Reinforcement Learning.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.509241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.509241Z digest=sha256:74b24c134e119bcc3223fc661c56907db29ce0bbbe01e9d153570fd626b1ba61

Observation 922c96ab-5111-45d0-ae62-06fd636c54dc · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.922836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.512607Z digest=sha256:b2cf9c8584788985a544d86541f79d479a8149c72e27bd584d1bfb22ea790b27

Observation 7f459e03-294e-48b0-a7eb-62a70dcba109 · outbound

This paper cites Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:52:42.732246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.515769Z digest=sha256:11497c7ccaca7e3e98142f3ecdb80494786ab9e4d14cb926e68646d90fee2c75

Observation 5cf9ffa0-0880-4fb5-b4b4-35ae272d677b · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.913748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7e10fb1c-c0d4-4393-8274-50b5a0f1c58a · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.523084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.523084Z digest=sha256:89b8d45f97f8d4f9f30391c81a915b1b5a1f76abfc83d481e1dc8b3333aafd09

Observation 2a40518e-e336-4936-9e51-7ead578adac0 · outbound

This paper cites A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.526251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.526251Z digest=sha256:d372562bfb470e947c27a029f1ce7ce0fd459a2def26269dcfcef42cfe6c9aa8

Observation b6143a5d-bd43-404d-a25c-edaae35d326e · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.899686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 32cad49b-d948-4f66-918c-b8a200b8e56b · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.890473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.532617Z digest=sha256:de13e29703f29b13a7721cb60df7821d4c26e4543a3e5786ec759011ad8e29ff

Observation 5f514b05-b7f4-4b42-b339-9fbd4990c596 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 25

Resolution
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raw_fallback, observed 2026-08-09T12:52:42.881794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.535589Z digest=sha256:bf3bc53d64ca599d3d66adde0d368cd7f626cd9b38f4d8a140459d9c087a1e03

Observation f800ead4-2d1a-48a0-930c-1318f54c2fea · outbound

This paper cites Evaluation of Deep Reinforcement Learning Algorithms for Portfolio Optimisation.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Evaluation of Deep Reinforcement Learning Algorithms for Portfolio Optimisation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:52:42.712066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.538706Z digest=sha256:925614af5c619d3706f34b94842a8791952b653ccca00752fbedda1e7483312f

Observation 45d9f780-ea11-4b47-90f8-00132ad7c46f · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.872922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.542120Z digest=sha256:a683f2ac88178fb57ffd0fc174ac81d5d6321c1e83ff5d2d55ec5cb58f341992

Observation f5fdee2e-69b8-46aa-a18d-b7a995c24a9d · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.864243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.545440Z digest=sha256:7ca32f1e6351ddfb77a8ab5f4918336bd29aad1043e51a9d8862b437e23ec27d

Observation 50727468-2175-4e4f-aade-a22316403090 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.855533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7ca7b797-20c8-49e4-8eaa-f99f9dd478ad · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.551476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.551476Z digest=sha256:934d848c7d18ad38569dc0a884c0f54d73532dba9e6a89570edee986bd6f3fba

Observation 2ca792d6-5c2a-49ce-9398-3c254234ec25 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 31

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unresolved
no resolver link, observed 2026-08-09T12:52:42.554559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.554559Z digest=sha256:e0dbc1990b45cc49964ab1bef4d6c99b3f815fa7ed66a27051fd66a8bc796101

Observation db2da8af-92db-42f5-aaf4-f3bbd5254e49 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.841699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.557499Z digest=sha256:b98cec279ce9ecc69753ccaddb70f3029e94eaecda1c50886f701f2f0c5dd294

Observation 2fd4189b-1448-42de-b14b-21cbd34722c6 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.832432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.560450Z digest=sha256:f87f3ea12721c8ec782744022ed2343cc3437aa99ea143680aa3d304b9a57358

Observation 7901c7b2-b491-4e70-9890-68c939a6f659 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-09T12:52:42.823660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.563377Z digest=sha256:976cb8acd58b18dcdae6dc7f44d57648c09ba85cb89b652d06601ae26b74b139

Observation d057b9bb-a8cd-4651-8e25-121754fdb04f · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.814829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.566389Z digest=sha256:da813018ca2de6a25a9bbe114dd9cbb6a2bbc25746998057af561de8b4d6d289

Observation 7437436a-4e91-49a7-b867-1e21331d8110 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.569705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.569705Z digest=sha256:48fdc4dd4d9f8d6c2c9f574607c077310050eff231543d592ba09b3c2e5429bd

Observation a826f712-c6b6-4291-8c6a-14bf930ad95d · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.801033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 484481d0-4662-4c3a-9f11-6ed515f73806 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.579511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.579511Z digest=sha256:e410c56faff38f11613e4ed7c1c205f68ca52138d782c3cca795a242cc57e5da

Observation 4495f5a9-96dd-42d9-b6f4-d74507be8954 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.786914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.582652Z digest=sha256:c75daab58da88cc2156e053e3742bb7c558fb5d2c322aa5cb4f9cdb1086fc4ce

Observation 4dde5196-21da-4ead-9d48-a5ec4a700ce4 · outbound

This paper cites Deep Reinforcement Learning for Asset Allocation in US Equities.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Deep Reinforcement Learning for Asset Allocation in US Equities

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:52:42.629950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.585819Z digest=sha256:688699a10aa49627403cde803887573322eb54c9d92a2c03714fb113a98b7dda

Observation 151297dc-1010-45e0-b246-53f712d87875 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.589239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.589239Z digest=sha256:4a235d1e37d2e37267a54efe968e7040bcb1a8df6a1d849b9e5bb6119433b670

Observation d62c594a-2212-4135-be0e-414897967939 · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.772106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.593726Z digest=sha256:3f8efc1958ab15b6601a4728559305896fdca21320f7df0bffbeb147b05aa1e4

Observation 7de5df04-cbde-404f-a066-4ea8304f250a · outbound

This paper cites an unresolved cited work.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:52:42.762931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.597013Z digest=sha256:0cc4e55b9e8d180a3f070f68437ba7728c14ca022eeecca59d47fa240f4367d0

Observation fa4e6549-6870-4b07-989e-a740689b3068 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Proximal Policy Optimization Algorithms

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-09T12:52:42.572870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:52:42.572870Z digest=sha256:3cc955e71800e8823e5dbaf1a484c2a6295241e9054f03d802cdc7a1e38c4e46

Observation 188e936e-357e-4355-bf38-1aba716dede6 · outbound

This paper cites Bridging the gap between Markowitz planning and deep reinforcement learning.

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards Bridging the gap between Markowitz planning and deep reinforcement learning

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T12:52:42.753520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T12:52:42.470251Z digest=sha256:ce36a2b61f7dcc642cbd3f82f9e0cfb50e2706874ec897084edfaf5a9cc52a54

Pith citing papers

No inbound Pith citation observations are available.