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Paper Citation Record · LEDGER

Least Squares Approximation for a Distributed System

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.04904.

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

pith.paper-citation-record.v1
1908.04904 v4

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:37:01.251414Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

41 of 41 outbound references displayed

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  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 144f43fa-e716-4623-b1bc-a8f178f88095 · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 05fe2974-2c75-4651-a570-c651021a2df4 · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 298bed7c-8205-47c5-98fd-347f9b5c4ec8 · outbound

This paper cites Distributed Estimation and Inference with Statistical Guarantees.

Least Squares Approximation for a Distributed System Distributed Estimation and Inference with Statistical Guarantees

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 32cb1812-2f27-42a3-a60c-93408957fc63 · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 4

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Observation 5794b727-796e-47c7-81db-56c7ec681d81 · outbound

This paper cites (2017 a ), Divide and conquer local average regression, Electronic Journal of Statistics, 11, 1326--1350.

Least Squares Approximation for a Distributed System (2017 a ), Divide and conquer local average regression, Electronic Journal of Statistics, 11, 1326--1350

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 40e434a8-2b8b-4a97-93f3-34af80c0b7c2 · outbound

This paper cites (2017 b ), Distributed semi-supervised learning with kernel ridge regression, The Journal of Machine Learning Research, 18, 1493--1514.

Least Squares Approximation for a Distributed System (2017 b ), Distributed semi-supervised learning with kernel ridge regression, The Journal of Machine Learning Research, 18, 1493--1514

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d929e540-daa4-4869-885e-5f8811388919 · outbound

This paper cites and Chen, Z.

Least Squares Approximation for a Distributed System and Chen, Z

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:37:01.069945Z digest=sha256:cc046aa32a19d577278b82a5a7c098d474f819076dee4ee55a577fe8b1543700

Observation 076f23af-32d5-4f00-a617-bfdde28ce2d1 · outbound

This paper cites and Guestrin, C.

Least Squares Approximation for a Distributed System and Guestrin, C

Reference 8

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1ae833b0-1f8b-4708-9e89-136d66d6e780 · outbound

This paper cites Quantile Regression Under Memory Constraint.

Least Squares Approximation for a Distributed System Quantile Regression Under Memory Constraint

Reference 9

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local_arxiv, observed 2026-08-14T13:37:01.371972Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 610b4961-d7f9-4f1e-8339-28ab02fbcacb · outbound

This paper cites and Xie, M.-g.

Least Squares Approximation for a Distributed System and Xie, M.-g

Reference 10

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Observation 25f953ea-55db-48d2-be53-790d56fbd62e · outbound

This paper cites (2004), Least angle regression, Annals of Statistics, 32, 407--499.

Least Squares Approximation for a Distributed System (2004), Least angle regression, Annals of Statistics, 32, 407--499

Reference 11

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Observation 93d8075c-b883-4984-a64d-bb8d777ff667 · outbound

This paper cites and Li, R.

Least Squares Approximation for a Distributed System and Li, R

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f3175183-8928-470b-aad8-474d907e2a9b · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.113049Z digest=sha256:6bee85b2692d4acf32defa4bc5c5febf3d7d191fc1eafff9f8b56f06a7dbefc9

Observation 0f707cd6-160d-44e9-b0e2-a1c634bda469 · outbound

This paper cites Distributed Estimation of Principal Eigenspaces.

Least Squares Approximation for a Distributed System Distributed Estimation of Principal Eigenspaces

Reference 14

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source=arxiv_source observed=2026-08-14T13:37:01.117713Z digest=sha256:47224f0024c9095461e26167c1a63456f72954675509abd2b8d0556d60a5ee7d

Observation 9c70ef8c-5ab0-46e0-a731-db955d893887 · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 15

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Observation 339b9de1-dbf5-4b30-bb20-ca6d6a1f52a8 · outbound

This paper cites (2016), Dual-loco: Distributing statistical estimation using random projections, in Artificial Intelligence and Statistics, pp.

Least Squares Approximation for a Distributed System (2016), Dual-loco: Distributing statistical estimation using random projections, in Artificial Intelligence and Statistics, pp

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 344111b3-00a7-45b7-a829-31f66f1a47f8 · outbound

This paper cites W., Lemeshow, S., and Sturdivant, R.

Least Squares Approximation for a Distributed System W., Lemeshow, S., and Sturdivant, R

Reference 17

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Observation 73630a11-b808-4153-a0f2-4909fdb694aa · outbound

This paper cites I., Lee, J.

Least Squares Approximation for a Distributed System I., Lee, J

Reference 18

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Observation 0cb35803-77c6-488c-8ee5-8c9440b83bfe · outbound

This paper cites Communication-efficient sparse regression: a one-shot approach.

Least Squares Approximation for a Distributed System Communication-efficient sparse regression: a one-shot approach

Reference 19

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local_arxiv, observed 2026-08-14T13:37:01.333380Z

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Observation a002d09e-9122-4f67-abaa-b051a1df483f · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8c6ca361-4e6f-48b8-885e-fe77cb321fa4 · outbound

This paper cites Distributed Feature Screening via Componentwise Debiasing.

Least Squares Approximation for a Distributed System Distributed Feature Screening via Componentwise Debiasing

Reference 21

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local_arxiv, observed 2026-08-14T13:37:01.305914Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f7ef530e-19a0-40d3-980e-362635947fe8 · outbound

This paper cites and Ihler, A.

Least Squares Approximation for a Distributed System and Ihler, A

Reference 22

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4ed2a790-b038-435a-8b5d-8268ba5cd9dd · outbound

This paper cites (2014), Communication-efficient distributed optimization using an approximate newton-type method, in International conference on machine learning, pp.

Least Squares Approximation for a Distributed System (2014), Communication-efficient distributed optimization using an approximate newton-type method, in International conference on machine learning, pp

Reference 23

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source=arxiv_source observed=2026-08-14T13:37:01.163248Z digest=sha256:a2bf734ce3909772451b8d48d6ed8d028831c366a820c4dd2cbd4576510fae4a

Observation 3897a0cf-cc5d-4e33-a140-ca737c813313 · outbound

This paper cites (1997), An asymptotic theory for linear model selection, Statistica Sinica, 221--242.

Least Squares Approximation for a Distributed System (1997), An asymptotic theory for linear model selection, Statistica Sinica, 221--242

Reference 24

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source=arxiv_source observed=2026-08-14T13:37:01.167802Z digest=sha256:e6933d92adb31e66457250d5c4700ddaee63279509436e240bebac752d653b29

Observation fd534509-b601-43c2-b98b-11e5135f23b1 · outbound

This paper cites I., and Jaggi, M.

Least Squares Approximation for a Distributed System I., and Jaggi, M

Reference 25

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Observation aad10bba-dde5-4361-a072-6ed728838e20 · outbound

This paper cites (1996), Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society.

Least Squares Approximation for a Distributed System (1996), Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society

Reference 26

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Observation 1615442b-6803-45f9-896b-e21b27e923b2 · outbound

This paper cites and Leng, C.

Least Squares Approximation for a Distributed System and Leng, C

Reference 27

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raw_fallback, observed 2026-08-14T13:37:01.624786Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.180357Z digest=sha256:5579a78202d8877e385f540ec5889d62358f3de11c647b91cacc1fd40d7459bc

Observation db5694ae-ea24-4cf1-82ac-df413ac7a8a9 · outbound

This paper cites (2007), Tuning parameter selectors for the smoothly clipped absolute deviation method, Biometrika, 94, 553--568.

Least Squares Approximation for a Distributed System (2007), Tuning parameter selectors for the smoothly clipped absolute deviation method, Biometrika, 94, 553--568

Reference 28

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no resolver link, observed 2026-08-14T13:37:01.185279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:37:01.185279Z digest=sha256:2006daff3399cbe64417b29b4c663bfd8e693596fb2778ddaa3d7a641e387d41

Observation ee34a71f-c3fe-4f35-a623-8dbcd6cb2a6c · outbound

This paper cites (2018), Optimal subsampling for large sample logistic regression, Journal of the American Statistical Association, 113, 829--844.

Least Squares Approximation for a Distributed System (2018), Optimal subsampling for large sample logistic regression, Journal of the American Statistical Association, 113, 829--844

Reference 29

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raw_fallback, observed 2026-08-14T13:37:01.600588Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.190197Z digest=sha256:7e9fa4c9a8ac83780ad404b1fbe7a276fde5cdc54d71e78ae71d68a93ec2cc98

Observation 7d141053-5992-420d-95f2-a2fade44916a · outbound

This paper cites (2017 a ), Efficient distributed learning with sparsity, in Proceedings of the 34th International Conference on Machine Learning-Volume 70, JMLR.

Least Squares Approximation for a Distributed System (2017 a ), Efficient distributed learning with sparsity, in Proceedings of the 34th International Conference on Machine Learning-Volume 70, JMLR

Reference 30

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raw_fallback, observed 2026-08-14T13:37:01.584847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.196301Z digest=sha256:28f0b744b500d44ea27da61298820cb2ae73f6b9c49eb943c92bc99b496158b5

Observation dd739c86-4ded-484f-b0cb-9f51f051be1e · outbound

This paper cites (2017 b ), Memory and communication efficient distributed stochastic optimization with minibatch prox, in Proceedings of the 2017 Conference on Learning Theory, eds.

Least Squares Approximation for a Distributed System (2017 b ), Memory and communication efficient distributed stochastic optimization with minibatch prox, in Proceedings of the 2017 Conference on Learning Theory, eds

Reference 31

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raw_fallback, observed 2026-08-14T13:37:01.570348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.201371Z digest=sha256:e51f6d3edbab5096c25c23e5a7f204c8bfb2cb72362a43090bc2e0b3d69fa0ef

Observation 5a56b9d3-9e32-44f2-bcd8-514f89bf4d18 · outbound

This paper cites (2013), Calibrating non-convex penalized regression in ultra-high dimension, Annals of statistics, 41, 2505.

Least Squares Approximation for a Distributed System (2013), Calibrating non-convex penalized regression in ultra-high dimension, Annals of statistics, 41, 2505

Reference 32

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raw_fallback, observed 2026-08-14T13:37:01.553486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.207068Z digest=sha256:39d2ef8bc91514c30738ccb63254747a00239446966be8af3a5543fb28ab43de

Observation b803d491-11db-4978-bb92-38af08580e71 · outbound

This paper cites W., Saunders, M., and Sun, Y.

Least Squares Approximation for a Distributed System W., Saunders, M., and Sun, Y

Reference 33

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raw_fallback, observed 2026-08-14T13:37:01.540322Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.211782Z digest=sha256:884cbdad926a240179bdb3f1253b2d4fd550dcec90e0209cd3b0c3f9684f4871

Observation fb0ebebc-e342-4c7a-b9fd-c6a738254ee4 · outbound

This paper cites J., Shenker, S., and Stoica, I.

Least Squares Approximation for a Distributed System J., Shenker, S., and Stoica, I

Reference 34

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raw_fallback, observed 2026-08-14T13:37:01.521003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.217812Z digest=sha256:0d8f0f4c3856d687b2ef3f1fb26ee4f70b926f13c7e202efb3f2ac770434ff26

Observation 6248e3cf-6b23-45d3-a227-043fb2eed483 · outbound

This paper cites (2010), Nearly unbiased variable selection under minimax concave penalty, Annals of Statistics, 38, 894--942.

Least Squares Approximation for a Distributed System (2010), Nearly unbiased variable selection under minimax concave penalty, Annals of Statistics, 38, 894--942

Reference 35

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raw_fallback, observed 2026-08-14T13:37:01.504793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.222817Z digest=sha256:d3f32c20cd917c080f8702d1474b35842b61fac3b0e038a4696c8271ca9f0a36

Observation e738b90c-2abd-4e8e-8d8e-e3533f89e226 · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:37:01.488955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.227964Z digest=sha256:cccf78135c08d0cee8a1469914b6232081f012ff8aaf13f6b1de4b48e4704a55

Observation bcc2d275-adcb-4b79-8c80-1a435f754d89 · outbound

This paper cites an unresolved cited work.

Least Squares Approximation for a Distributed System Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:37:01.471538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.233311Z digest=sha256:b01701a27a45ef587e59a9da53dac50606979fd8bac02c295377b3c5ac590a72

Observation 206c6dd5-bcc9-4413-9828-61621fe6af13 · outbound

This paper cites C., and Wainwright, M.

Least Squares Approximation for a Distributed System C., and Wainwright, M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:37:01.457048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.238515Z digest=sha256:cc59ed77074a473a6dcc42fca351f0aff99fc5cd270e14474397cfa43a4518be

Observation f4a1dd17-3ebf-42c2-864c-588e063f5bdc · outbound

This paper cites (2006), The adaptive lasso and its oracle properties, Journal of the American Statistical Association, 101, 1418--1429.

Least Squares Approximation for a Distributed System (2006), The adaptive lasso and its oracle properties, Journal of the American Statistical Association, 101, 1418--1429

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:37:01.440246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.243239Z digest=sha256:9e6207c203b585360e417697d2125973135bcac2c902c42a02b52c03dcfce0a3

Observation a9abfd54-06b5-4cc7-a8d5-5aa15e4b8650 · outbound

This paper cites and Li, R.

Least Squares Approximation for a Distributed System and Li, R

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:37:01.423163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.247061Z digest=sha256:370921c0ebdb67fecf24f462526664ea8104cbfc3eaa0cc88d80e6cc87479f9d

Observation 6e405721-c72d-4fb8-8c57-99a67d4d7071 · outbound

This paper cites and Zhang, H.

Least Squares Approximation for a Distributed System and Zhang, H

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:37:01.406296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:37:01.251414Z digest=sha256:2aa57c36c1b4051e15e0aad6a94b451f314b8c5b72975f20435c5749f4882cb6

Pith citing papers

No inbound Pith citation observations are available.