Pith. sign in

Paper Citation Record · LEDGER

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization

As of 4 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2602.17679.

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

pith.paper-citation-record.v1
2602.17679 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T13:52:35.097572Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

32 of 32 outbound references displayed

  • verified exact11
  • verified fuzzy21
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5da61b3-6ae0-43a8-bbcb-46c37f1efb09 · outbound

This paper cites Causal bayesian optimization.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Causal bayesian optimization

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.949163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:c2d81d70bf8a2ee3943abb912c22aa103240c359e68bab61e4188b6e5763719f

Observation f95afe54-2ca6-40c6-a94c-1dfb957bdfec · outbound

This paper cites Unexpected improvements to expected improvement for bayesian optimization.Advances in Neural Information Processing Systems, 36:20577–20612.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Unexpected improvements to expected improvement for bayesian optimization.Advances in Neural Information Processing Systems, 36:20577–20612

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.954012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:71e2342d90a8f3c34773c6342dfc98b49040f9a025948c3b82c70d5ef83dc51e

Observation 94973fc5-f58b-4abd-9854-87c862866fe3 · outbound

This paper cites an unresolved cited work.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-05-21T13:54:11.396122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:7499e1770e14b47a02704e846fa18d0267d36c217f7999e2da8390882f8d0fe6

Observation fcf07824-f871-4daa-aa41-ec6abeb9097f · outbound

This paper cites Bayesian optimization of function networks.Advances in neural information processing systems, 34:14463–14475.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Bayesian optimization of function networks.Advances in neural information processing systems, 34:14463–14475

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.956752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:3913aee09df9a14397a56c9d151b1ea7c1635319ca78500948758bfc2df76810

Observation c1a9def1-6861-4449-bbca-0222296b6d5f · outbound

This paper cites Botorch: A framework for efficient monte-carlo bayesian optimization.Advances in neural information processing systems, 33:21524–21538.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Botorch: A framework for efficient monte-carlo bayesian optimization.Advances in neural information processing systems, 33:21524–21538

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.951415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:7ed4721ee58e0e657accb9f1e4ec3e59cf9a93ae28ed8d5933c4fdde9c3f6acf

Observation c47b438e-f563-4627-8562-2aa0b1f737fb · outbound

This paper cites Brasington, J.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Brasington, J

Reference 6

Resolution
verified exact
doi, observed 2026-05-21T13:54:11.396599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:2a2342cfd97c2c8b15e2304ba804979a4ffbd5677efd8aabc082d309fa176fdc

Observation 0f9a7288-9dc6-4b71-8423-3743900136d5 · outbound

This paper cites Convergence of sparse variational inference in gaussian processes regression.Journal of Machine Learning Research, 21(131):1–63.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Convergence of sparse variational inference in gaussian processes regression.Journal of Machine Learning Research, 21(131):1–63

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.959153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:b86ddcb1bc5e14c8f5d1f64a241f51f0ffb5c587f6f29e96ce3bad8bf7c6c347

Observation f4db845c-835c-429c-8a38-2afb772c0fde · outbound

This paper cites Okwudire.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Okwudire

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:54:11.386374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:72a157374e7f7a632c3dd0de105ba56cf8c33b5ef4d19cd2406cf5c84bc6d8ba

Observation bd94dd55-86e0-4d47-9659-cf8f8fee6d91 · outbound

This paper cites Fermentation technology: Scale-up and seed train operations.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Fermentation technology: Scale-up and seed train operations

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.961616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:a89d4f1465b130ab524e05dd0f9eefbd28d0485962ec5955c80c4c1f9b5d5b82

Observation 1f915e2b-313c-4205-9b3f-4e33325140f8 · outbound

This paper cites A Tutorial on Bayesian Optimization.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization A Tutorial on Bayesian Optimization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-21T13:54:11.465436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:87e146c4b547cfa8a2292220da1cda402552d536ee11bcde79ad5cf53c0fa765

Observation 1fab5b5d-f2dd-4404-8ad8-ac62b9491d77 · outbound

This paper cites Rapid ethanol fermentation of cellulose hydrolysate.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Rapid ethanol fermentation of cellulose hydrolysate

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.947740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:2128da1e036691290e63388c48761f6b8dcb9ee5c6aa7469f54008bb2e653149

Observation 9b591d2f-fc3f-4bde-8fee-2e63c5dc5bc3 · outbound

This paper cites HighBridge.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization HighBridge

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.939767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:3b1bbdedf085601199de3670623cf87f73a6d5cc2ce38da569563192484452c2

Observation e8e83c3e-57ff-4347-823b-08837afc3a5c · outbound

This paper cites Gaussian Processes for Big Data.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Gaussian Processes for Big Data

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-21T13:54:11.476653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:a9b5ec46d9b9406ae157793009da13614ecfbee588cc406350cba9e2872b9243

Observation bb04fc29-aef1-4ec3-bcdb-e21a5726eb09 · outbound

This paper cites Seed train optimization for suspension cell culture.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Seed train optimization for suspension cell culture

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.935798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:6d58a8c9ba4f36e0090b91fba91188677c301fe9457eca1f5516c3e09f3ba8e5

Observation 7dbb6238-12e3-4634-bce0-831371c1704b · outbound

This paper cites Vanilla Bayesian Optimization Performs Great in High Dimensions.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:54:11.469020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:d9dd234b5d54eb5dd706bcb650acf77c25dfe8a0a1aa45e369d4fe946ca1ab7f

Observation 7dc3934d-6d7e-49c9-b88b-031fc4614c73 · outbound

This paper cites Therealcostofmanufacturingdowntime(2020–2025): Sectorinsights&forecast.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Therealcostofmanufacturingdowntime(2020–2025): Sectorinsights&forecast

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.927034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:9f72a16e50a0f56f9811fdafc0721bc6089ccbc6093885559c7a0a8458b6e07b

Observation 0d8e645a-4cd7-45d2-9702-63c3fd9d7d86 · outbound

This paper cites Scaling up animal cell culture: Technical challenges and opportunities for biomanufacturing.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Scaling up animal cell culture: Technical challenges and opportunities for biomanufacturing

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.943912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:894ea73912f6c7773ff76834ecd1f5361ec8df9aa24d3f9c0927a8feef13d24e

Observation 6ba3ab8e-5238-47ac-ad5e-5c16365ea2f6 · outbound

This paper cites Parametric gaussian process regressors.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Parametric gaussian process regressors

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.945797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:c2cead543892955ea91ba1d4e5886a97c37bfb9df3cae5a45eb9cb40446fe1a8

Observation 7967958e-5234-48fb-8b26-3663c55d329a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Adam: A Method for Stochastic Optimization

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-21T13:54:11.485489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:51e9b58be25a54fc28d583f81af49fc6c3e1e1ed9f6597d695d044225fdaa1cd

Observation 849d4e2d-3b7e-4894-8ea4-4ced295966dd · outbound

This paper cites Schmitt, and Jurgen Beyerer.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Schmitt, and Jurgen Beyerer

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.928898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:00ec953ce137ee80dfd605bc224a894100401200847000ac1f43863f57a382a6

Observation b6094b61-aeac-49bc-9783-0f209c4ef4fc · outbound

This paper cites Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:54:11.480685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:a821a634c5d772d126a843409599de51838d7f54a6cca968897fd7ec1fe3a566

Observation 9c6ddab6-bced-49ec-8427-7063f2cad8d3 · outbound

This paper cites Scalable bayesian optimization accelerates process optimization of penicillin production.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Scalable bayesian optimization accelerates process optimization of penicillin production

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.917998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:61c0ee00b5c21fca729f90342c5ed4c12e623b2bc18a8c95f5ca7edd12e7a534

Observation 82871020-1a69-4fc6-b349-127f2eda2511 · outbound

This paper cites A kinetic study of the lactic acid fermentation.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization A kinetic study of the lactic acid fermentation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.922276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:02923529a861e2ae6fd47cb46e8ca70ab1bd21fbb9bfa087a6e400ed0f95c029

Observation 099179c1-8187-47cd-89a5-0770a8464e98 · outbound

This paper cites Inducing point allocation for sparse gaussian processes in high-throughput bayesian optimisation.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Inducing point allocation for sparse gaussian processes in high-throughput bayesian optimisation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.922500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:42f58ed79c3ccb588155c142c12711bcd25b906f53d84dc8a063428d9a10b8cf

Observation e36bee04-13d0-4077-a1c3-bcccc319f8ed · outbound

This paper cites The maintenance energy of bacteria in growing cultures.Proceedings of the Royal Society of London.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization The maintenance energy of bacteria in growing cultures.Proceedings of the Royal Society of London

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.941938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:dbe9e470c538c85e6153c8e338cb3930c02b7271ad71c279b09a9f04091f9ea0

Observation 574241b2-589d-49df-9eb2-10515008937f · outbound

This paper cites Gaussian processes in machine learning.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Gaussian processes in machine learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.937726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:87525c8a06fda7028cdba9f6ea17c6a6e5568af730e182b5f67533fa90e832b1

Observation 2c5ff673-dcd2-42a5-8177-8c9b5da4ea01 · outbound

This paper cites Effect of ph and temperature on bioethanol production: Evidences from the fermentation of sugarcane molasses using saccharomyces cerevisiae.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Effect of ph and temperature on bioethanol production: Evidences from the fermentation of sugarcane molasses using saccharomyces cerevisiae

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.931337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:1d6e4d917d027153990178e43a458860636c05dec8c8cfeeae3f0e46cd3ec94d

Observation 07f95d53-8e8c-4939-9f81-f6b2d20477f1 · outbound

This paper cites Doubly stochastic variational inference for deep gaussian processes.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Doubly stochastic variational inference for deep gaussian processes

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.937512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:663218c73b88a14e4e2edf6b3a9ec73af30260119416566d53c0018cd797e696

Observation c72ffec5-b9c6-4a27-9cd9-b58aaa507f63 · outbound

This paper cites Application of bayesian optimization for pharmaceutical product development.Journal of Pharmaceutical Innovation, 15(3):333–343.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Application of bayesian optimization for pharmaceutical product development.Journal of Pharmaceutical Innovation, 15(3):333–343

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:54:11.933642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:fee1b876eb79518e2403e78a02eba7268c061bf168d01c0ac50d62a8a8d0a86d

Observation 5701541e-8ae7-465f-819b-0180d0d56b99 · outbound

This paper cites Shields, Jason M.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Shields, Jason M

Reference 30

Resolution
verified exact
doi, observed 2026-05-21T13:54:11.402211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:c2341b75112dd1a6be51ace70592f0362ef91bbf029f5a202c3314925a24fa4d

Observation 55e3dc2d-5c5f-48da-b7d0-c5a1cdbd4454 · outbound

This paper cites Model-based Causal Bayesian Optimization.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Model-based Causal Bayesian Optimization

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:54:11.478020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:c277f9b8b2909f6ee240f6c21f701384324516b193b215445e826e3b729aac8c

Observation 54cdc8b0-c70e-48cc-b2ec-79c58069670d · outbound

This paper cites an unresolved cited work.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Unresolved cited work

Reference 32

Resolution
verified exact
doi, observed 2026-05-21T13:54:11.399265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:52:35.097572Z digest=sha256:7c8fdb5dd514914ac31e9cb1b95a79dd957b806a32743ab29453d964a1df89dd

Pith citing papers

No inbound Pith citation observations are available.