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Paper Citation Record · LEDGER

Grounding Investor Views: Neural Predicates in the Black-Litterman Model

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.20533.

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

pith.paper-citation-record.v1
2607.20533 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:41:13.574496Z

measured 40 of 40 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

40 of 40 outbound references displayed

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Outbound references

Observation 8b9ce8bb-484b-49e1-809a-be833d7bb0c1 · outbound

This paper cites Portfolio selection.The Journal of Finance, 7(1):77–91, March 1952.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Portfolio selection.The Journal of Finance, 7(1):77–91, March 1952

Reference 1

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source=pdf_text observed=2026-08-02T07:41:09.821862Z digest=sha256:422a68ba3c88f80cc87271b3bb0a3806b507d413b0a19411cd03a90608176e23

Observation e478a950-494c-468c-a86f-2ad6201892ee · outbound

This paper cites Asset allocation: Combining investor views with market equilibrium.The Journal of Fixed Income, 1(2):7–18, September 1991.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Asset allocation: Combining investor views with market equilibrium.The Journal of Fixed Income, 1(2):7–18, September 1991

Reference 2

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Observation 068238a5-5baf-4e59-befd-b9116f9e27db · outbound

This paper cites Global portfolio optimization.Financial Analysts Journal, 48(5):28–43, September/October 1992.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Global portfolio optimization.Financial Analysts Journal, 48(5):28–43, September/October 1992

Reference 3

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Observation 195a0bc0-de42-4494-8bad-a712cdc5d4c1 · outbound

This paper cites an unresolved cited work.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T07:41:10.143369Z digest=sha256:e82632f613798bf99f3745d393f0cdd4b6e4ef97326269c7b8818dc2bb2e2cfd

Observation 71ca443e-6d05-4c99-a73a-a075a4a6cd7e · outbound

This paper cites The valuation of risk assets and the selection of risky investments in stock portfoliosandcapitalbudgets.The Review of Economics and Statistics, 47(1):13–37, Febru- ary 1965.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model The valuation of risk assets and the selection of risky investments in stock portfoliosandcapitalbudgets.The Review of Economics and Statistics, 47(1):13–37, Febru- ary 1965

Reference 5

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Observation 712f1474-0c88-4795-9c8f-1b641b0ced05 · outbound

This paper cites an unresolved cited work.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Unresolved cited work

Reference 6

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Observation 4bb752f9-4d30-4ac6-ba39-bd0723d92aa2 · outbound

This paper cites DeepProbLog: Neural Probabilistic Logic Programming.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model DeepProbLog: Neural Probabilistic Logic Programming

Reference 7

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Observation 2a80b609-5f9a-4d93-8761-48461e94f426 · outbound

This paper cites optimized.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model optimized

Reference 8

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source=pdf_text observed=2026-08-02T07:41:10.652878Z digest=sha256:ba66c096c85c68029f4fa7b4dccd5c0ea4421e6a23b5e3b707f08aeb685b82f8

Observation f118d930-7b85-421c-b7e8-e7766ed9ec06 · outbound

This paper cites Potentialperformanceandtestsofportfolioefficiency.Journal of Financial Economics, 10(4):433–466, 1982.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Potentialperformanceandtestsofportfolioefficiency.Journal of Financial Economics, 10(4):433–466, 1982

Reference 9

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Observation 62c67b3e-6c09-4988-952a-569362f24a63 · outbound

This paper cites Best and Robert R.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Best and Robert R

Reference 10

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Observation 0498cc56-29ba-4af4-b017-4a14b640cd6d · outbound

This paper cites Honey, I shrunk the sample covariance matrix.The Journal of Portfolio Management, 30(4):110–119, 2004.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Honey, I shrunk the sample covariance matrix.The Journal of Portfolio Management, 30(4):110–119, 2004

Reference 11

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Observation 94a2bacd-6e17-46d8-b854-a12ea90d9edc · outbound

This paper cites Goldfarb and G.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Goldfarb and G

Reference 12

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Observation 8b167f8a-a236-4ea5-890f-9030ee058adb · outbound

This paper cites Barber and Terrance Odean.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Barber and Terrance Odean

Reference 13

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Observation 00f284b9-39e7-4582-a7c6-4b2db508b216 · outbound

This paper cites Fama and Kenneth R.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Fama and Kenneth R

Reference 14

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Observation 90ae40c0-5c4b-4bec-9541-62685782dd3b · outbound

This paper cites Beyond Black-Litterman: Views on non-normal markets.Risk Magazine, 19:87–92, 2006.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Beyond Black-Litterman: Views on non-normal markets.Risk Magazine, 19:87–92, 2006

Reference 15

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Observation 4cc96982-4785-4363-b4cc-1430a9dd4b02 · outbound

This paper cites Historical scenarios with fully flexible probabilities.GARP Risk Profes- sional, pages 47–51, December 2010.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Historical scenarios with fully flexible probabilities.GARP Risk Profes- sional, pages 47–51, December 2010

Reference 16

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Observation e342206f-b9f7-4c16-8f43-28e925174277 · outbound

This paper cites an unresolved cited work.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Unresolved cited work

Reference 17

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Observation 5716652a-918f-474c-901f-29dc73f81a5a · outbound

This paper cites Rumelhart, Geoffrey E.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Rumelhart, Geoffrey E

Reference 18

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Observation e245fe43-47af-4d6c-823c-eee56ed34858 · outbound

This paper cites Fodor and Zenon W.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Fodor and Zenon W

Reference 19

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Observation 0a637a35-576c-461c-9ed9-8d1f76300784 · outbound

This paper cites McCulloch and Walter Pitts.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model McCulloch and Walter Pitts

Reference 20

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Observation f4bd9882-0985-47e0-81f6-ab7a8a95d66c · outbound

This paper cites Towell and Jude W.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Towell and Jude W

Reference 21

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Observation a5adfbfc-9f83-4590-abab-b8aeac2b2f3f · outbound

This paper cites d’Avila Garcez and G.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model d’Avila Garcez and G

Reference 22

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Observation d2725b88-16de-4e2c-9f09-2758508a8911 · outbound

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Grounding Investor Views: Neural Predicates in the Black-Litterman Model Unresolved cited work

Reference 23

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Observation 0abe8aea-c0c8-4251-bb89-d4150aebc178 · outbound

This paper cites Empirical asset pricing via machine learning.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Empirical asset pricing via machine learning

Reference 24

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Observation e3e8a5d2-7a84-4972-bca0-c57aa0dc212b · outbound

This paper cites Deep learning in asset pricing.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Deep learning in asset pricing

Reference 25

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Observation c3f58bda-6dea-4b7e-abf0-d1c918a7e686 · outbound

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Grounding Investor Views: Neural Predicates in the Black-Litterman Model Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-02T07:41:12.815840Z digest=sha256:7819240538f0442566c335d784e3131525c336239fdffe8e2fc3fd0f49c529a5

Observation 9dfacf6e-6db5-4e18-a4c4-9d09d63bd0fe · outbound

This paper cites When is a liability not a liability? textual analysis, dictionaries, and 10-ks.The Journal of Finance, 66(1):35–65, 2011.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model When is a liability not a liability? textual analysis, dictionaries, and 10-ks.The Journal of Finance, 66(1):35–65, 2011

Reference 27

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Observation 63cabb1b-40cd-4d79-b5e0-b3a2642d3883 · outbound

This paper cites Huang, Amy Y.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Huang, Amy Y

Reference 28

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Observation 4ebac4df-0717-4748-811d-a4dad9038129 · outbound

This paper cites Wisdom of crowds: The value of stock opinions transmitted through social media.Management Science, 60(1):1–24, 2014.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Wisdom of crowds: The value of stock opinions transmitted through social media.Management Science, 60(1):1–24, 2014

Reference 29

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Observation 399d6996-9508-47a4-a853-3c99b42735ed · outbound

This paper cites Can chatgpt forecast stock price movements? return predictability and large language models.arXiv preprint arXiv:2304.07619, 2025.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Can chatgpt forecast stock price movements? return predictability and large language models.arXiv preprint arXiv:2304.07619, 2025

Reference 30

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Observation b6418755-ea1d-4c6c-8670-a895ee45b303 · outbound

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Grounding Investor Views: Neural Predicates in the Black-Litterman Model Unresolved cited work

Reference 31

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Observation b3e1218e-01e9-420c-94d0-7a1933916e8c · outbound

This paper cites Deeplearningforportfoliooptimization.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Deeplearningforportfoliooptimization

Reference 32

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Observation 3399710c-c380-4c22-a03b-f1f2b37eb7e4 · outbound

This paper cites Deep Hedging of Long-Term Financial Derivatives.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Deep Hedging of Long-Term Financial Derivatives

Reference 33

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Observation 74c4604d-6796-483a-8768-d3023f9c62d2 · outbound

This paper cites The intuition behind black-litterman model portfo- lios.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model The intuition behind black-litterman model portfo- lios

Reference 34

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Observation 6e3c91e6-1cc6-4d4f-94fd-4e30a055d3fa · outbound

This paper cites Prentice Hall, 3rd edition, 2010.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Prentice Hall, 3rd edition, 2010

Reference 35

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Observation b07eb15c-9980-4dd0-bfa8-f3e55080c9b1 · outbound

This paper cites Predicate logic as programming language.Information Processing, 74: 569–574, 1974.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Predicate logic as programming language.Information Processing, 74: 569–574, 1974

Reference 36

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source=pdf_text observed=2026-08-02T07:41:13.269600Z digest=sha256:0552a44eee3d4dc454c198f1086bb77bd7d53bb1f4bb5d3bc210e4b4c867abd6

Observation 832607a2-fdc5-43a5-9dd9-7a94184903b8 · outbound

This paper cites The symbol grounding problem.Physica D: Nonlinear Phenomena, 42 (1–3):335–346, 1990.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model The symbol grounding problem.Physica D: Nonlinear Phenomena, 42 (1–3):335–346, 1990

Reference 37

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Observation 2b84bf58-ab7a-47a9-b73f-d11c83d62ccb · outbound

This paper cites ProbLog: A probabilistic Pro- log and its application in link discovery.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model ProbLog: A probabilistic Pro- log and its application in link discovery

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T07:41:13.421986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:41:13.421986Z digest=sha256:e8533d98901d20a92bf89301d764868e952cb9f2e26b3be7ae395e7cadff2f2f

Observation 141da667-1e73-49ac-91c6-71f25bb7cbd9 · outbound

This paper cites Lundberg and Su-In Lee.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model Lundberg and Su-In Lee

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T07:41:13.481954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:41:13.481954Z digest=sha256:de547447774d7a2757233390fdc83ebc76211a3695bc5d1a6b108018b8a5c263

Observation d1cc24a6-a639-441b-b724-9a8e88f441dc · outbound

This paper cites GPT-4 technical report.

Grounding Investor Views: Neural Predicates in the Black-Litterman Model GPT-4 technical report

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T07:41:13.574496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:41:13.574496Z digest=sha256:ac0df6b36d9cf6b96a2fd5772def5967b314682bbb2480503f2cfa08c3848d74

Pith citing papers

No inbound Pith citation observations are available.