Pith. sign in

Paper Citation Record · LEDGER

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2509.00095.

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

pith.paper-citation-record.v1
2509.00095 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:54:17.249953Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

33 of 33 outbound references displayed

  • verified exact4
  • verified fuzzy15
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e33c67c4-108c-4359-a2f9-e54af3951209 · outbound

This paper cites A novel application of statistical process control charts in financial market surveillance with the idea of profile monitoring,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization A novel application of statistical process control charts in financial market surveillance with the idea of profile monitoring,

Reference 1

Resolution
verified exact
doi, observed 2026-08-15T16:54:17.320836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.116170Z digest=sha256:24a799b1d5e4c2103a0fe357b89a726df2e6f58e14cece18555ff2031e9340f4

Observation 2220fa55-05c0-43a2-a07d-63cd14f7f52a · outbound

This paper cites The role of the business model in capturing value from innovation: evidence from xerox corporation’s technology spin-off companies,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization The role of the business model in capturing value from innovation: evidence from xerox corporation’s technology spin-off companies,

Reference 2

Resolution
verified exact
doi, observed 2026-08-15T16:54:17.305837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.121358Z digest=sha256:9981fc03c1c5e90a10d363f868e0991ff150a4853c02c4dbc766ab1c15a39b44

Observation 4add2fb0-b5f8-4c6b-a886-7670515026fe · outbound

This paper cites A budget-adaptive allocation rule for optimal computing budget allocation,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization A budget-adaptive allocation rule for optimal computing budget allocation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.755300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.125827Z digest=sha256:c7e90dc195249f65ff6ace746205a441d51c6005d5f2d3488e3b1174f81d807a

Observation af51421f-2f6c-444f-b0e9-6221f65c4bdb · outbound

This paper cites A dual-model solution for business reasoning with large language mod- els,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization A dual-model solution for business reasoning with large language mod- els,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.739047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.130012Z digest=sha256:4d08a271478d13abc1d28ce4c230db85cf4546f289cdb19b2c694effdc072c3b

Observation cbe73d8b-53b2-4d90-9410-214b7d609f6d · outbound

This paper cites Introduction to reinforcement learning,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Introduction to reinforcement learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.722814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.134289Z digest=sha256:837c216476bf3221a15538d0c85488e339760addd49762bc1ec44906bfcc1e22

Observation 62730c11-7af1-4809-8c27-61669eae4599 · outbound

This paper cites Actor-Critic Reinforcement Learning for Control with Stability Guarantee.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Actor-Critic Reinforcement Learning for Control with Stability Guarantee

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.142981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.142981Z digest=sha256:18c571507ac7e447be0a11e0295e213a10ebcb4099d1b84bbca8738f83937c88

Observation 9eb0afb3-4452-44d3-a4d6-1ff04706e1dd · outbound

This paper cites Reinforcement learning: An introduction,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Reinforcement learning: An introduction,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.147313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.147313Z digest=sha256:e47ffdccb932564db38583217c9293565304d9beb1351581f877389e343a2451

Observation 237d0860-297c-4fa6-bd9b-42bfad3ab2c7 · outbound

This paper cites A Review of Reinforcement Learning in Financial Applications.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization A Review of Reinforcement Learning in Financial Applications

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:54:17.470295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.151978Z digest=sha256:d7238f56f0a1d9ea4b11d7a30c029d83c1b94abbd59e2598558ab125b2d4495e

Observation c322cb97-c45f-4652-ad23-38f16188086a · outbound

This paper cites Apple income statement 2010–2024 — aapl,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Apple income statement 2010–2024 — aapl,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.698942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.156348Z digest=sha256:f22c14a15c290a14d0e497ef080da9587385fdcdddba25112bdc0b1de4058e81

Observation efe6107a-2b81-4b03-b99b-88b34b5a540c · outbound

This paper cites Harnessing the power of quantum feature representation for lever- aging fused descriptor definition in breast cancer diagnosis,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Harnessing the power of quantum feature representation for lever- aging fused descriptor definition in breast cancer diagnosis,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.683334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.160560Z digest=sha256:dfce0fed958eae6480bc09026f91c8cdc42eed32f9349428c0c8748520fa7483

Observation e38b6c73-4155-4d54-83e0-b001567b84a2 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Playing Atari with Deep Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.164542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.164542Z digest=sha256:a6ad2e7119439e289ab1c926e34f75a59566a8f369a095764f7178355dbbeeac

Observation e5b03630-75e2-4b78-bbc3-ecb4d40be0b0 · outbound

This paper cites Optimizing automated trading systems with deep reinforcement learning,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Optimizing automated trading systems with deep reinforcement learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.668659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.168990Z digest=sha256:be59b80803588616cc5b1860608522a44593e0320f224332bda4c0c2bf4d1009

Observation 71e12747-3844-4b07-8957-afa665803368 · outbound

This paper cites Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.176796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.176796Z digest=sha256:11c5e5f12d424cb72cb09350244974ca887b763a7c65f7e6112327e6a1b0f0bd

Observation f63ea225-50f7-4909-9fdd-75444e989ee7 · outbound

This paper cites A deep reinforcement learning framework for dynamic portfolio optimization: Evidence from china’s stock market,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization A deep reinforcement learning framework for dynamic portfolio optimization: Evidence from china’s stock market,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.636161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.180828Z digest=sha256:be3544dedaa295c7794c489e5a3ae42a11c008768ecf2269530beac54ab99237

Observation 0cb74f0c-bb8f-4084-b229-29ffdd2c2638 · outbound

This paper cites A systematic approach to portfolio optimization: A comparative study of reinforcement learning agents, market signals, and investment horizons,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization A systematic approach to portfolio optimization: A comparative study of reinforcement learning agents, market signals, and investment horizons,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.620617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.184790Z digest=sha256:395663550acba0cf255ee39586e1dd3fa909cde1772e38851ca641ecca2fa51c

Observation a28d0353-29c6-4b71-92a6-2b073ef368bb · outbound

This paper cites Deep reinforcement learning for portfolio selection,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Deep reinforcement learning for portfolio selection,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.602521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.188692Z digest=sha256:53f92e67716fb83f8afd3483421896528a996f31643c7fb5e5ba399c43d87368

Observation a23843c0-a7bc-427c-a28d-1db18db6080c · outbound

This paper cites Vlassis, M.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Vlassis, M

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.192456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.192456Z digest=sha256:7be2bccb9ae6a233727a720584a22f1f26cab440307530daf9c4c5711093c53f

Observation c235773a-d745-4058-8e41-471d000dc2ee · outbound

This paper cites Bayesian reinforcement learning: A basic overview,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Bayesian reinforcement learning: A basic overview,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.585945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.196611Z digest=sha256:f8e91f75495fd0e8208684453627016b1ccc3941e4958d2992f5a262436e5f72

Observation 4367ce4f-c241-49f6-993e-0ac2422f14a0 · outbound

This paper cites Generalized Bayesian deep reinforcement learning.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Generalized Bayesian deep reinforcement learning

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:54:17.423019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.200799Z digest=sha256:e51a2cbbd719496dd3beccad44fa082042fb71dabb49683cd427aeb796c1f183

Observation 18d1276e-f8d5-4cf9-9d6e-df1659bc3271 · outbound

This paper cites Convex optimization: Algorithms and complexity,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Convex optimization: Algorithms and complexity,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.204963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.204963Z digest=sha256:3fdc63a6837b493b3c5c58085bd8f8df5c415c166e4f930a6d244c8b7693c219

Observation 519f1fe1-359b-44ff-8814-f972f42a243a · outbound

This paper cites Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.208811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.208811Z digest=sha256:df749b14a825ee426cabd79a7761cbb05a6591946459c9b8f69fa189f94b8a11

Observation a7a33ff9-163c-4e94-bd55-efd0561c3851 · outbound

This paper cites Using genetic algorithms to find technical trading rules,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Using genetic algorithms to find technical trading rules,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.569773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.212881Z digest=sha256:7c5067e09fb80dcc3982507af66c11dbd8eb34d28fb0db46f2f3ac805da9d4aa

Observation 472cbc6f-b4f4-45ca-b5e3-010f27e5e5a7 · outbound

This paper cites Quantum-inspired genetic algorithm,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Quantum-inspired genetic algorithm,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.554471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.216642Z digest=sha256:6fc47b687c5839381b2768f0b71a30ea7bb7d9c602ca5eb792a04902d6b7e5ec

Observation 2239e2c7-a743-40b5-b608-0e560fe6d9d2 · outbound

This paper cites Hybrid optimization search-based ensem- ble model for portfolio optimization and return prediction in business investment,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Hybrid optimization search-based ensem- ble model for portfolio optimization and return prediction in business investment,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.538890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.220639Z digest=sha256:7bb41898e974092e3379ef4d231eefb2600df7751ea03ad376e3121cd73fe67c

Observation 4e190e43-f53b-4675-9b3b-d8ce2f20b39a · outbound

This paper cites OpenAI Gym.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization OpenAI Gym

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.224489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.224489Z digest=sha256:f99a6b01e45917193e6ab8d4109c5bcc91beec4364a2552d13d59ecb38c73a1c

Observation 17ccaba9-fba7-42e5-8995-c938e166d6b9 · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Addressing Function Approximation Error in Actor-Critic Methods

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.228605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.228605Z digest=sha256:1886277058156988db14028f16e2e679dcd7fa7a8ab37798e5c08c7fd14621f0

Observation e440be73-3472-4fcd-aa38-a8253c0ed26f · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Understanding the difficulty of training deep feedforward neural networks,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.521638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.233000Z digest=sha256:a02d36c678d8e11ba38e87a436e6df30b9afa7def0b95e483e0789d99f174403

Observation 7dff4ef8-3621-4446-bcbf-47c227313cc9 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.237243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.237243Z digest=sha256:076f8288d17e94638312fa35b3b059f7a25060ee831e190e986f841b2e954147

Observation 24a79909-740d-47ab-80e2-51856f410d87 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.241383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.241383Z digest=sha256:b78da2abd140607625ffd043e25f0d1aae589cba08de7ba27c35b9ebaa0e0454

Observation e445512b-80c8-4de6-9fcc-0394c4fdab69 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations,.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Stable-baselines3: Reliable reinforcement learning implementations,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.245619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.245619Z digest=sha256:8c81b3c48bbdf1aba920c36149fb51d967b8eadc6e899b1b17ef287e7a46898f

Observation f5bfbb62-5470-426f-af5c-30a13ed60530 · outbound

This paper cites Notes on Kullback-Leibler Divergence and Likelihood.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Notes on Kullback-Leibler Divergence and Likelihood

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.249953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.249953Z digest=sha256:3c71c17ef504379497e0fe3e68e0319243ae6f83723b6997a744782b9e5871a1

Observation 59def309-ee51-4536-a8f7-8156792d1da9 · outbound

This paper cites Available: https://www.mdpi.com/1999-4893/16/1/23.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Available: https://www.mdpi.com/1999-4893/16/1/23

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:54:17.652677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T16:54:17.172967Z digest=sha256:7070b37fc85da3c0e88102258190496574d9d8f4924985931ffb35a8622859f7

Observation 06a90d54-0875-4e5a-8a2e-42f33e69de51 · outbound

This paper cites Introduction to Reinforcement Learning.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Introduction to Reinforcement Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:17.138608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:17.138608Z digest=sha256:70567bd3102c31dcda3dda86235db0bbcad14d7053719047c83389f861299943

Pith citing papers

No inbound Pith citation observations are available.