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Paper Citation Record · LEDGER

Learning Causal Structure Distributions for Robust Planning

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.06742.

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

pith.paper-citation-record.v1
2508.06742 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:41:22.092531Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

50 of 50 outbound references displayed

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  • verified fuzzy41
  • unresolved7
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation a438ac42-73e9-4506-a218-6160cbe2ef66 · outbound

This paper cites Causality.

Learning Causal Structure Distributions for Robust Planning Causality

Reference 1

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Observation ccf82459-974f-482b-b396-79bd5fb515b6 · outbound

This paper cites Toward causal representation learning.

Learning Causal Structure Distributions for Robust Planning Toward causal representation learning

Reference 2

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Observation f0a979a9-434b-4399-8244-0f4c2c8c8dd4 · outbound

This paper cites The cross-entropy method for optimization.

Learning Causal Structure Distributions for Robust Planning The cross-entropy method for optimization

Reference 3

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Observation 069b71c9-5d8f-4202-8309-a786a8d6d5b8 · outbound

This paper cites Robust model predictive path integral control: Analysis and performance guarantees.

Learning Causal Structure Distributions for Robust Planning Robust model predictive path integral control: Analysis and performance guarantees

Reference 4

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Source-reported events for the cited work

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Observation 43394cd7-f928-4be9-8161-5932b398688a · outbound

This paper cites Counting unlabeled acyclic digraphs.

Learning Causal Structure Distributions for Robust Planning Counting unlabeled acyclic digraphs

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b1ff0ecd-fa25-44d8-a195-7ea8cdcafffc · outbound

This paper cites Car-despot: Causally-informed online pomdp planning for robots in confounded environments.

Learning Causal Structure Distributions for Robust Planning Car-despot: Causally-informed online pomdp planning for robots in confounded environments

Reference 6

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raw_fallback, observed 2026-08-05T22:41:22.741304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 07b831a6-ef93-4922-a2ad-ef6856fdd396 · outbound

This paper cites Causalaf: Causal autoregressive flow for safety-critical driving scenario generation.

Learning Causal Structure Distributions for Robust Planning Causalaf: Causal autoregressive flow for safety-critical driving scenario generation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 92f88b83-53c8-4c0a-b220-72155a2cc305 · outbound

This paper cites Causal Dynamics Learning for Task-Independent State Abstraction.

Learning Causal Structure Distributions for Robust Planning Causal Dynamics Learning for Task-Independent State Abstraction

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62d508d5-97cc-40c3-8e23-16f72627d8cb · outbound

This paper cites Axiomatic attribution for deep networks.

Learning Causal Structure Distributions for Robust Planning Axiomatic attribution for deep networks

Reference 9

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Observation cf2c6f30-43a0-4f75-a9c1-fb727e450be0 · outbound

This paper cites Causal diagrams for empirical research.

Learning Causal Structure Distributions for Robust Planning Causal diagrams for empirical research

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72281a02-6024-4ef8-887b-b352a1ef7e42 · outbound

This paper cites Adarl: What, where, and how to adapt in transfer reinforcement learning.

Learning Causal Structure Distributions for Robust Planning Adarl: What, where, and how to adapt in transfer reinforcement learning

Reference 11

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bee31a21-abdb-43b3-8071-0595301ebfa4 · outbound

This paper cites Learning dynamic attribute-factored world models for efficient multi-object reinforcement learning.

Learning Causal Structure Distributions for Robust Planning Learning dynamic attribute-factored world models for efficient multi-object reinforcement learning

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1c7818b7-0569-439c-b5f7-6fc93108f7cd · outbound

This paper cites Causal structure discovery from distributions arising from mixture dag.

Learning Causal Structure Distributions for Robust Planning Causal structure discovery from distributions arising from mixture dag

Reference 13

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 391791e9-041e-4f56-8d33-6decc2feda63 · outbound

This paper cites An algorithm for fast recovery of sparse causal graphs.

Learning Causal Structure Distributions for Robust Planning An algorithm for fast recovery of sparse causal graphs

Reference 14

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Observation d04fac4a-1a5c-4c09-8e16-10647351a246 · outbound

This paper cites Amortized Inference for Causal Structure Learning.

Learning Causal Structure Distributions for Robust Planning Amortized Inference for Causal Structure Learning

Reference 15

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Observation 5f7c6e7e-9108-4c74-a839-fb6ec75a2183 · outbound

This paper cites Dagma: Learning dags via m-matrices and a log-determinant acyclicity characterization.

Learning Causal Structure Distributions for Robust Planning Dagma: Learning dags via m-matrices and a log-determinant acyclicity characterization

Reference 16

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8e499072-42c4-411c-aa8f-57de1e7a507e · outbound

This paper cites Nonlinear learning method for local causal structures.

Learning Causal Structure Distributions for Robust Planning Nonlinear learning method for local causal structures

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a975e478-ea51-48b4-b176-a241ee682c0e · outbound

This paper cites Learning causal semantic representation for out-of-distribution prediction.

Learning Causal Structure Distributions for Robust Planning Learning causal semantic representation for out-of-distribution prediction

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 544f6ce4-26e2-4a31-ad32-3d9b8ec2e60d · outbound

This paper cites Invariant causal representation learning for out-of- distribution generalization.

Learning Causal Structure Distributions for Robust Planning Invariant causal representation learning for out-of- distribution generalization

Reference 19

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7aed0b7c-e086-4a37-b1a4-6d94ca41ffdf · outbound

This paper cites Causpref: Causal preference learning for out-of-distribution recommendation.

Learning Causal Structure Distributions for Robust Planning Causpref: Causal preference learning for out-of-distribution recommendation

Reference 20

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Observation 7841679c-dc68-4c0b-aa30-abcc53f29df5 · outbound

This paper cites Counterfactual data augmentation using locally factored dynamics.

Learning Causal Structure Distributions for Robust Planning Counterfactual data augmentation using locally factored dynamics

Reference 21

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 62204761-fa23-4ae5-8bbc-8f350835cb6c · outbound

This paper cites Seeing is not believing: Robust reinforcement learning against spurious correlation.

Learning Causal Structure Distributions for Robust Planning Seeing is not believing: Robust reinforcement learning against spurious correlation

Reference 22

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raw_fallback, observed 2026-08-05T22:41:22.540494Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4ace1e7e-e6b5-4d04-b5ce-94c10afe6daa · outbound

This paper cites Mocoda: Model-based counterfactual data augmentation.

Learning Causal Structure Distributions for Robust Planning Mocoda: Model-based counterfactual data augmentation

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d35f1832-127e-493e-bd26-ac9b54681e31 · outbound

This paper cites Online dynamics learning for predictive control with an application to aerial robots.

Learning Causal Structure Distributions for Robust Planning Online dynamics learning for predictive control with an application to aerial robots

Reference 24

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raw_fallback, observed 2026-08-05T22:41:22.514514Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7d50ec26-c1a6-4bd1-b0e0-dbeb80891aef · outbound

This paper cites Dynamic learning from adaptive neural control of robot manipulators with prescribed performance.

Learning Causal Structure Distributions for Robust Planning Dynamic learning from adaptive neural control of robot manipulators with prescribed performance

Reference 25

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raw_fallback, observed 2026-08-05T22:41:22.579468Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 62e7d04b-6fe1-494b-aabc-7237701d7cc9 · outbound

This paper cites Dynamics learning with object-centric interaction networks for robot manipulation.

Learning Causal Structure Distributions for Robust Planning Dynamics learning with object-centric interaction networks for robot manipulation

Reference 26

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raw_fallback, observed 2026-08-05T22:41:22.501392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b29afa8f-b986-4602-a82f-ffdb6314f9d8 · outbound

This paper cites Real-time inverse dynamics learning for mus- culoskeletal robots based on echo state gaussian process regression.

Learning Causal Structure Distributions for Robust Planning Real-time inverse dynamics learning for mus- culoskeletal robots based on echo state gaussian process regression

Reference 27

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raw_fallback, observed 2026-08-05T22:41:22.487403Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a99a8ecb-a42f-4bf1-a3a8-46cb5a824f99 · outbound

This paper cites Cascaded gaus- sian processes for data-efficient robot dynamics learning.

Learning Causal Structure Distributions for Robust Planning Cascaded gaus- sian processes for data-efficient robot dynamics learning

Reference 28

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raw_fallback, observed 2026-08-05T22:41:22.474135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 58c1f61c-8930-44a0-84ff-bc1feadac041 · outbound

This paper cites Introduction to dynamic systems: theory, models, and applications, volume 1.

Learning Causal Structure Distributions for Robust Planning Introduction to dynamic systems: theory, models, and applications, volume 1

Reference 29

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raw_fallback, observed 2026-08-05T22:41:22.460134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3b9039af-6692-473b-bb17-bc249b6ffdf7 · outbound

This paper cites Parameter identification of robot dynamics.

Learning Causal Structure Distributions for Robust Planning Parameter identification of robot dynamics

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.446463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.014740Z digest=sha256:8781f4ab1e742b9a6e9242647a721164e1202d8e328ca0b8e74340cc1b03dea4

Observation 32d3c9d1-6d4b-4472-9d11-c40919c1e745 · outbound

This paper cites Differential equations, dynamical systems, and linear algebra.

Learning Causal Structure Distributions for Robust Planning Differential equations, dynamical systems, and linear algebra

Reference 31

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raw_fallback, observed 2026-08-05T22:41:22.433633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a11ee9eb-1e02-407e-bb84-b9d8dcfc3f42 · outbound

This paper cites Bayesian structure learning with generative flow networks.

Learning Causal Structure Distributions for Robust Planning Bayesian structure learning with generative flow networks

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.420217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.022643Z digest=sha256:f163482b43b251114de2215ddede2b0927e8380fada83e3ae00762fc4538e0f3

Observation f04bc921-9d5d-4cea-b8e3-04535cc589a3 · outbound

This paper cites Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes.

Learning Causal Structure Distributions for Robust Planning Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

Reference 33

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local_arxiv, observed 2026-08-05T22:41:22.170081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4fd86c06-6138-4005-83d5-f1767706970b · outbound

This paper cites Why did i fail? a causal- based method to find explanations for robot failures.

Learning Causal Structure Distributions for Robust Planning Why did i fail? a causal- based method to find explanations for robot failures

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.406960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.030485Z digest=sha256:a333f6875ad7a307d998d88c544240711f037a1bf1be9b4a52ca061c7af22483

Observation 84fd8bb6-09d9-4d4b-b5cb-9b91d65dd6d8 · outbound

This paper cites Do feature attribution methods correctly attribute features? In Proceedings of the AAAI Conference on Artificial Intelligence , 2022.

Learning Causal Structure Distributions for Robust Planning Do feature attribution methods correctly attribute features? In Proceedings of the AAAI Conference on Artificial Intelligence , 2022

Reference 35

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raw_fallback, observed 2026-08-05T22:41:22.393915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.034622Z digest=sha256:b3d047b7655a96c3b052e31553febdf88d644a8ee4867cb183e57a9271e77e9f

Observation 5fc424de-89b4-4a1c-a42c-ff5246b29be9 · outbound

This paper cites The effectiveness of feature attribution methods and its correlation with automatic evaluation scores.

Learning Causal Structure Distributions for Robust Planning The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.380426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.038257Z digest=sha256:d6ba9dfc1517cf53a98cec60cf50bbe86802793ae18ca99ba86735074a8c6972

Observation 7a89dd66-5654-4d26-98f7-cc3f36a2b145 · outbound

This paper cites Causal Inference for De-biasing Motion Estimation from Robotic Observational Data.

Learning Causal Structure Distributions for Robust Planning Causal Inference for De-biasing Motion Estimation from Robotic Observational Data

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:41:22.149451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.042040Z digest=sha256:73e56b34b90d6bd88780826bb89984f7aa6a5ff0859fed7d34934a02475ef5ed

Observation 65a3abc2-740e-4110-af89-ad11c54a3134 · outbound

This paper cites Review of causal discovery methods based on graphical models.

Learning Causal Structure Distributions for Robust Planning Review of causal discovery methods based on graphical models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.367391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.046183Z digest=sha256:0c848eb5cfd16a197580924ce85559453ac245e8853444e3e9b3439dc52b7016

Observation 0dbd9c60-7855-4597-a9a8-b3cf445bc593 · outbound

This paper cites Causal imitation learning with unobserved confounders.

Learning Causal Structure Distributions for Robust Planning Causal imitation learning with unobserved confounders

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.354489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.049890Z digest=sha256:b080cc8c68f752f492008e69d8296d8079e35874635ca19dec75a49a5b3e52ae

Observation c1b9f35e-3d0f-4ed9-b73b-3dad2ecf98d6 · outbound

This paper cites an unresolved cited work.

Learning Causal Structure Distributions for Robust Planning Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:41:22.341508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.053557Z digest=sha256:6cc8b50569246936a7fbbe94e4a0acc603d6ec904968328a05df5ff33fae540a

Observation 47e72c24-617d-4833-940e-dc1351b63be9 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Learning Causal Structure Distributions for Robust Planning Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.328909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.057223Z digest=sha256:52323fc221e472f514816d5248ee51d2247b5962347f736e0ac651d6417bdf91

Observation 848e6cdb-0a90-4b23-b1a4-94ede7d59ebf · outbound

This paper cites An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties.

Learning Causal Structure Distributions for Robust Planning An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.315691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.060827Z digest=sha256:dd0922e492cfad585400525f507a1e3acec75712c04ff01b2bb2b243002e597c

Observation 256a7fe0-297f-4450-baa7-185c67794cba · outbound

This paper cites Task independent causal state abstraction.

Learning Causal Structure Distributions for Robust Planning Task independent causal state abstraction

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.302278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.064570Z digest=sha256:d1b6b167ec54451b8c53193c67a44dc1c5f30f271025e1677df2b68ac3b4985f

Observation 77135586-b7c4-4213-9175-c8707bc451a9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning Causal Structure Distributions for Robust Planning Proximal Policy Optimization Algorithms

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T22:41:22.068434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:41:22.068434Z digest=sha256:c5206b18a66bea1402a5f51f6909b80dfb9d5e83dde74fe1ce2748898a6974fe

Observation ea03b11a-5ff4-4261-b0fc-d9772661ba9c · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Learning Causal Structure Distributions for Robust Planning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.286401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.073719Z digest=sha256:62e59e6131ce686da882bcf5010e5fa04b90710b20478716a5e0c308704592f7

Observation 3fb9bbeb-0c66-4e44-ba22-c6b97ca531d7 · outbound

This paper cites Addressing function approximation error in actor-critic methods.

Learning Causal Structure Distributions for Robust Planning Addressing function approximation error in actor-critic methods

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.271315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.077527Z digest=sha256:9c65d4a14e4d1632f462838b3f2eed47d4176256397025f8d9a3e7fb05a99211

Observation fcda38e4-081b-4f21-90cb-82e58b484563 · outbound

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

Learning Causal Structure Distributions for Robust Planning Stable-baselines3: Reliable reinforcement learning implementations

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.256230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.081260Z digest=sha256:872d5997698e34111b5aca610565562a430f11c93fd21076235100431f318567

Observation e7b5862d-d08c-43ab-937d-ff4394c44e05 · outbound

This paper cites Lambert, and Roberto Calandra.

Learning Causal Structure Distributions for Robust Planning Lambert, and Roberto Calandra

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.241825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.084862Z digest=sha256:7a328edea167c2ccd4260124937988b15378e83f27d8711e50826ad7aed9a5cc

Observation 1665815c-7788-4e50-aaec-651f8e8b3d1b · outbound

This paper cites Clearpath additional simulation worlds.

Learning Causal Structure Distributions for Robust Planning Clearpath additional simulation worlds

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.227978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.088730Z digest=sha256:7cfe22aa6aa78b5fd1f1ae1177e0bf4858686b9bace8922c297bc8980a9ffa5e

Observation 45fb163b-f4c8-44d4-a2dd-59a8155b1ab3 · outbound

This paper cites Neural compression.

Learning Causal Structure Distributions for Robust Planning Neural compression

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:41:22.214242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T22:41:22.092531Z digest=sha256:53fd32fe031204ddd82ebb3fafb968c788178879114e2d8e8df7e326f8811a67

Pith citing papers

No inbound Pith citation observations are available.