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Paper Citation Record · LEDGER

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection

As of 12 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.18773.

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

pith.paper-citation-record.v1
2411.18773 v3

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:59:45.990622Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7928d99a-aee4-4987-b66f-a11adc86e194 · outbound

This paper cites N (0, 1) innovations, with γ∗ = 0.3.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection N (0, 1) innovations, with γ∗ = 0.3

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:59:46.458625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9e40ce07-e16a-4646-93c1-b862e40a03df · outbound

This paper cites Results for d = 50, 75 and T = 100, 150 are reported in Table S3, where the estimators bϕ and bγl are obtained from fitting the model (S4).

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Results for d = 50, 75 and T = 100, 150 are reported in Table S3, where the estimators bϕ and bγl are obtained from fitting the model (S4)

Reference 2

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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 2026-08-12T06:34:41.77262+00:00.

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Observation ed2727ac-be87-4625-87d4-f13a0cc25306 · outbound

This paper cites , zt,9,1}, where zt,0,1 = 1, zt,k,1 = 1 {qt ≤ bγk} for k ∈ [9], t ∈ [100], and bγk is the (10% · k)-th empirical quantile of {qt}t∈[100].

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection , zt,9,1}, where zt,0,1 = 1, zt,k,1 = 1 {qt ≤ bγk} for k ∈ [9], t ∈ [100], and bγk is the (10% · k)-th empirical quantile of {qt}t∈[100]

Reference 3

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 263b4cda-32bf-4233-9c2d-b200f8452f11 · outbound

This paper cites The final estimator is selected from the three results with the smallest estimation error.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection The final estimator is selected from the three results with the smallest estimation error

Reference 4

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 8aa696e2-42b7-4e7d-922b-07db6f09ff96 · outbound

This paper cites overlaps.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection overlaps

Reference 5

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 68c35c44-6c89-4366-b55b-2d4f1685c6e8 · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 46c71357-56f2-45aa-8881-6207e8ddd060 · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-12T10:59:46.375032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0568a4c4-3871-41d3-9c7e-5d0495e12842 · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f478ee60-fc85-4531-ac79-f2985d736bfb · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a520497f-878b-48d5-81c4-4ec51909593b · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0386cf07-045a-4854-a905-0fe05b8328cf · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e9a80051-faac-48ea-aa40-b91a29bfd919 · outbound

This paper cites Consider the remaining sets.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Consider the remaining sets

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0dce76c4-ce92-4fd8-b49a-cc73e5397c0c · outbound

This paper cites Similarly using Lemma 1, we have P (Ac.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Similarly using Lemma 1, we have P (Ac

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b81293aa-4453-4a77-896b-d262f8bd935e · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 14

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 23d5b457-5f26-4d8f-b415-6d9e5a7fc4f9 · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 15

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ffdc514d-8fb9-46cf-a660-52a5d5440751 · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 16

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 078cd4aa-5545-409b-ad3a-015fede85062 · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 17

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unresolved
raw_fallback, observed 2026-08-12T10:59:46.074826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 22b380a7-d158-42df-b18c-22aabad3409d · outbound

This paper cites On the other hand, if we have Assumption (M2’), the above results remain valid, except that P (Ac.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection On the other hand, if we have Assumption (M2’), the above results remain valid, except that P (Ac

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:59:46.060038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 72df5ac6-fd26-431a-a447-84810a1702b2 · outbound

This paper cites K-block vectorization.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection K-block vectorization

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:59:46.043110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 89f30d66-483b-4aa5-b07f-0ec398168954 · outbound

This paper cites an unresolved cited work.

Inference on Dynamic Spatial Autoregressive Models with Change Point Detection Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:59:46.027788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

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