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Paper Citation Record · LEDGER

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.06658.

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

pith.paper-citation-record.v1
2608.06658 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:13:53.528500Z

measured 38 of 38 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

38 of 38 outbound references displayed

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  • verified fuzzy32
  • unresolved4
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e95229b-149d-4df7-9575-b01160646cbb · outbound

This paper cites Absence of diffusion in certain random lattices.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Absence of diffusion in certain random lattices

Reference 1

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

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Observation 7e2d60c5-8b97-4b88-89b6-4d590f7ac4fa · outbound

This paper cites Anderson.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Anderson

Reference 2

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

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Observation a6961390-f5f6-4c31-bb43-2f79e9ed5ebe · outbound

This paper cites A variable order M arkov model approach for mobility prediction.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data A variable order M arkov model approach for mobility prediction

Reference 3

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Source-reported events for the cited work

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Observation 7425e4db-ee90-4d96-9117-a60e65d46690 · outbound

This paper cites Uncovering the socioeconomic facets of human mobility.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Uncovering the socioeconomic facets of human mobility

Reference 4

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Source-reported events for the cited work

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Observation c7b739ab-ef79-4ae8-b5ce-4fb0935e07b4 · outbound

This paper cites Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage

Reference 5

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Source-reported events for the cited work

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

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Observation 5bfc4118-cce9-4179-ad6e-f27313f3b334 · outbound

This paper cites Exploring sociocentric and egocentric approaches for social network analysis.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Exploring sociocentric and egocentric approaches for social network analysis

Reference 6

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Observation 7dd4f636-6c17-4767-98f1-c2af847262ae · outbound

This paper cites Crime rate and social integration the impact of metropolitan mobility.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Crime rate and social integration the impact of metropolitan mobility

Reference 7

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Source-reported events for the cited work

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

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Observation 45b1b73e-2a98-46d9-8e67-8fa46c386c04 · outbound

This paper cites Covariance selection.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Covariance selection

Reference 8

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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.

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Observation 926a36d2-0141-4fd2-950f-7e38b927cf22 · outbound

This paper cites Eigenvectors from eigenvalues: a survey of a basic identity in linear algebra.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Eigenvectors from eigenvalues: a survey of a basic identity in linear algebra

Reference 9

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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.

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Observation 6e99f8d4-93ea-4524-a399-9fc0a681b8fd · outbound

This paper cites Bayesian inference for general gaussian graphical models with application to multivariate lattice data.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Bayesian inference for general gaussian graphical models with application to multivariate lattice data

Reference 10

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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.

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Observation 550c45c3-6ea5-4861-8a2f-76d037a895f1 · outbound

This paper cites A statistical framework for measuring the temporal stability of human mobility patterns.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data A statistical framework for measuring the temporal stability of human mobility patterns

Reference 11

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Source-reported events for the cited work

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Observation b1c3b1bf-1d77-4af4-82b9-eaae6e1d0afc · outbound

This paper cites Gender gaps in urban mobility.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Gender gaps in urban mobility

Reference 12

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verified fuzzy
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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.

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Observation df2a30d3-962f-497d-93fc-db2665169e84 · outbound

This paper cites Matrix variate distributions, volume 104.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Matrix variate distributions, volume 104

Reference 13

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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.

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Observation 61ff78e7-bfc7-4f2d-9ea9-ed63d214a3f5 · outbound

This paper cites Discrete Temporal Models of Social Networks.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Discrete Temporal Models of Social Networks

Reference 14

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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.

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Observation 699c05a2-774d-4c93-bf75-5f377b2a6da9 · outbound

This paper cites Modeling dependencies in international relations networks.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Modeling dependencies in international relations networks

Reference 15

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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.

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Observation 8f70d108-cfde-47ea-92ea-de4e9d740f50 · outbound

This paper cites Latent space approaches to social network analysis.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Latent space approaches to social network analysis

Reference 16

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ce755400-cd47-4c45-b814-2952ed26dc57 · outbound

This paper cites Bayes factors.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Bayes factors

Reference 17

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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.

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Observation 8b7b00ea-02fe-4c58-9c17-6b20ff5a03af · outbound

This paper cites The reversal small-world experiment.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data The reversal small-world experiment

Reference 18

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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.

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Observation 4726b29f-1682-4011-a6a2-2df83fd39409 · outbound

This paper cites Acquaintance networks between racial groups: Application of the small world method.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Acquaintance networks between racial groups: Application of the small world method

Reference 19

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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.

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Observation 407751f3-ad04-4fa4-86dc-0eb366129386 · outbound

This paper cites Bayesian inference for a covariance matrix.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Bayesian inference for a covariance matrix

Reference 20

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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.

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Observation b772b7ea-5e9a-4dd8-891f-1469f2326c76 · outbound

This paper cites Bayesian correlation estimation.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Bayesian correlation estimation

Reference 21

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Source-reported events for the cited work

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Observation 5c73d780-0f6c-4285-b2b1-9d339373eaef · outbound

This paper cites How peer influence affects attribute preferences: A bayesian updating mechanism.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data How peer influence affects attribute preferences: A bayesian updating mechanism

Reference 22

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Observation 72b84c3d-970e-42bb-adde-803d70d2d61e · outbound

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Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Unresolved cited work

Reference 23

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Observation e020a377-1a23-468b-a012-ff6c5277d407 · outbound

This paper cites Geographic constraints on social network groups.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Geographic constraints on social network groups

Reference 24

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verified fuzzy
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Source-reported events for the cited work

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Observation adc6b9a9-413f-43c1-b357-6fc669a1f5af · outbound

This paper cites A symmetric matrix-variate normal local approximation for the wishart distribution and some applications.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data A symmetric matrix-variate normal local approximation for the wishart distribution and some applications

Reference 25

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verified fuzzy
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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.

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Observation 4b152b26-327f-4b12-a8df-332562cdfa5b · outbound

This paper cites A framework for criminal network analysis using big data.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data A framework for criminal network analysis using big data

Reference 26

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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.

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Observation a453df1f-bfc3-4bc1-a52f-4d35cc756e0c · outbound

This paper cites Flexible covariance estimation in graphical G aussian models.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Flexible covariance estimation in graphical G aussian models

Reference 27

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verified fuzzy
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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.

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Observation ff861e3d-7bd6-4bc3-a6f1-70ca2586b3b0 · outbound

This paper cites Analysing long term spatial mobility patterns of individuals and large groups using 3d-gis: A sport geographic approach.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Analysing long term spatial mobility patterns of individuals and large groups using 3d-gis: A sport geographic approach

Reference 28

Resolution
verified fuzzy
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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.

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Observation c51a2a81-d614-46cb-a78a-e7ff08577a26 · outbound

This paper cites Hyper inverse W ishart distribution for non-decomposable graphs and its application to B ayesian inference for G aussian graphical models.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Hyper inverse W ishart distribution for non-decomposable graphs and its application to B ayesian inference for G aussian graphical models

Reference 29

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verified fuzzy
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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.

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Observation 03d1fc57-ceb9-4807-86e3-750ac2b2ef80 · outbound

This paper cites Bayesian model selection for the latent position cluster model for social networks.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Bayesian model selection for the latent position cluster model for social networks

Reference 30

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unresolved
no resolver link, observed 2026-08-10T23:13:53.489771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:13:53.489771Z digest=sha256:93ec693d98f617c60796fef7a19d82d58a3110d4b6409a3731f19444584afaed

Observation 7ea668bf-a5ad-44d1-9740-c605a8ecf7cc · outbound

This paper cites A parallel tempering algorithm for probabilistic sampling and multimodal optimization.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data A parallel tempering algorithm for probabilistic sampling and multimodal optimization

Reference 31

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verified fuzzy
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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=arxiv_source observed=2026-08-10T23:13:53.494552Z digest=sha256:954e9cdfb5af3180ccaeb83923b52743fa5ac52452e9c035259538480d3a2e74

Observation ee7f7bda-142d-4774-863f-b4ed1a3c567a · outbound

This paper cites Socio-spatial properties of online location-based social networks.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Socio-spatial properties of online location-based social networks

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-10T23:13:53.706253Z

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=arxiv_source observed=2026-08-10T23:13:53.499286Z digest=sha256:dbf230354af4b7b2ac98e6a128c10661b8e87fb3b058e52b57c3303b34d6c083

Observation cdb27c4a-e9ae-4f8d-94f4-5b130f83cf1f · outbound

This paper cites Parsimonious covariance matrix estimation for longitudinal data.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Parsimonious covariance matrix estimation for longitudinal data

Reference 33

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raw_fallback, observed 2026-08-10T23:13:53.688742Z

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=arxiv_source observed=2026-08-10T23:13:53.504385Z digest=sha256:7f66c69e9f7203613e1d87a4615b45391ecd2289a3b20ea260d08024b9707bf5

Observation 722c9a1a-d1c0-491c-92d0-5059077cb21d · outbound

This paper cites Social networks and industrial geography.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Social networks and industrial geography

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-10T23:13:53.670888Z

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=arxiv_source observed=2026-08-10T23:13:53.509081Z digest=sha256:f524dc287a8d89de1b5edfe119182a6ae270f89aa39882dc34bae69dfcea1501

Observation 5be71584-8a21-4031-86b8-dda6d38e6ebc · outbound

This paper cites An experimental study of the small world problem.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data An experimental study of the small world problem

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-10T23:13:53.653346Z

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=arxiv_source observed=2026-08-10T23:13:53.514313Z digest=sha256:67152b164ca83a314aea056c3ca219056cddabb4b86baee23258bbd3784a719a

Observation 0aab3b89-085b-4db5-a7ff-94ece5b0e207 · outbound

This paper cites Bayesian graphical lasso models and efficient posterior computation.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Bayesian graphical lasso models and efficient posterior computation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:13:53.636897Z

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=arxiv_source observed=2026-08-10T23:13:53.519021Z digest=sha256:38c8c3efee54862a0a4317c980dc2ed52ce78196d2bc59aa85c6a8b9a1fe562e

Observation b0bf3bfc-5ef8-4b8b-88cd-1ddacdaed3e4 · outbound

This paper cites Modeling Human Spatial Mobility Patterns with the L\'evy Flight Cluster Model.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Modeling Human Spatial Mobility Patterns with the L\'evy Flight Cluster Model

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T23:13:53.584409Z

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=arxiv_source observed=2026-08-10T23:13:53.523475Z digest=sha256:2a32fb1bc7ae540059c743ec4d7ce3a5ce4f9a0cd555c0f28e19344a4b71e03e

Observation b0eb2705-5103-47a3-a63c-60e18777cb4e · outbound

This paper cites Estimation of a covariance matrix using the reference prior.

Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data Estimation of a covariance matrix using the reference prior

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:13:53.621822Z

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=arxiv_source observed=2026-08-10T23:13:53.528500Z digest=sha256:5ee12a66371f8631d5f0a032427d8b864801a8fbea10a9b5db8c655f4b1a3af2

Pith citing papers

No inbound Pith citation observations are available.