Paper Citation Record · LEDGER

Interpretable models for forecasting high-dimensional functional time series

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2603.28344.

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

pith.paper-citation-record.v1
2603.28344 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T20:03:45.984919Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

54 of 54 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e252db9c-59da-43d8-8621-e56c9f1a6cd9 · outbound

This paper cites CVE-2026-22171: OpenClaw Feishu Media Path Traversal.

Interpretable models for forecasting high-dimensional functional time series CVE-2026-22171: OpenClaw Feishu Media Path Traversal

Reference 1

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Observation 44be7b4c-db42-424c-9fc3-e575710724fd · outbound

This paper cites CVE-2026-22175: OpenClaw OpenClaw’s exec allow-always can be bypassed via unrecognized multiplexer shell wrappers.

Interpretable models for forecasting high-dimensional functional time series CVE-2026-22175: OpenClaw OpenClaw’s exec allow-always can be bypassed via unrecognized multiplexer shell wrappers

Reference 2

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Observation e4042089-1953-4f68-8b51-aa73116f0e0d · outbound

This paper cites CVE-2026-32060: OpenClaw Path Traversal in apply_patch.

Interpretable models for forecasting high-dimensional functional time series CVE-2026-32060: OpenClaw Path Traversal in apply_patch

Reference 3

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Observation c2b59b41-bfdf-4bb6-809a-7db961bf1151 · outbound

This paper cites 2020.The science of quantitative information flow.

Interpretable models for forecasting high-dimensional functional time series 2020.The science of quantitative information flow

Reference 4

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Observation bd2dc36a-3020-4cc9-916e-c21eff6d2007 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 5

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Observation 6b54d493-2ac8-480a-8f2a-5aa5cc860ba9 · outbound

This paper cites 1996.Software Change Impact Analysis.

Interpretable models for forecasting high-dimensional functional time series 1996.Software Change Impact Analysis

Reference 6

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Observation 9d4739f9-aac9-4f75-8d46-c2eee3b8cbab · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 7

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Observation 7b740d24-8908-4ee5-9938-34b2bd055b52 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 8

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Observation 6dfa8082-c27a-4dce-a803-b205b2b2cb99 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 9

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Observation cbd47300-0c24-4aba-87b5-981acad9e941 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 10

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Observation 277e921e-7c5a-4882-ad1a-08416bb57176 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 11

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Observation de759836-f382-49c0-8796-0745c5b5f076 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 12

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Observation e2d0ada5-2548-45b3-8944-1ad1c2f822e6 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 13

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Observation 17e7eb07-9364-4c3c-81ab-fd57648f9c5f · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 14

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Observation 5958f99e-2f93-461a-8a78-ae8a4a75296a · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 15

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Observation ece818b8-f599-45a2-a7c1-d1a459a923ff · outbound

This paper cites Securing AI Agents with Information-Flow Control.

Interpretable models for forecasting high-dimensional functional time series Securing AI Agents with Information-Flow Control

Reference 16

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Observation 3bac1cb8-0ef7-436a-86c3-29e627101c9a · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 17

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Observation cfc6223d-6306-4ab1-ab8c-02a09c3ace45 · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 18

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Observation d83f439c-d33a-4e21-b355-3e95c0edc81f · outbound

This paper cites an unresolved cited work.

Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 19

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Observation f1a1b905-6a6e-46e4-ba8a-6ef647cef23c · outbound

This paper cites 2026.Don’t get pinched: the OpenClaw vulnerabilities.

Interpretable models for forecasting high-dimensional functional time series 2026.Don’t get pinched: the OpenClaw vulnerabilities

Reference 20

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Observation faa13378-7456-4aac-b782-7dfc6858428b · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 21

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Observation 03ab1b31-2a05-453e-8b35-1b49dcfd42ea · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 22

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Observation 038db5e9-21aa-4230-9d14-df74e8223ade · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 23

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Observation 67abaf8d-0392-4a44-b9da-73c9f07eac04 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 24

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Observation ffa3dbb1-ad14-4e63-9655-129faf446e20 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 25

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Observation 3d5e3d36-c14f-4712-8067-fa0830fb4cae · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 26

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Observation 5041b6cc-2f5f-4df8-81fb-a147a5665990 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 27

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Observation 6b5c5d1f-2d54-4d39-b0cc-cdf96d6740a4 · outbound

This paper cites Bissyandé, Jacques Klein, Yves Le Traon, Steven Arzt, Siegfried Rasthofer, Eric Bodden, Damien Octeau, and Patrick Mc- Daniel.

Interpretable models for forecasting high-dimensional functional time series Bissyandé, Jacques Klein, Yves Le Traon, Steven Arzt, Siegfried Rasthofer, Eric Bodden, Damien Octeau, and Patrick Mc- Daniel

Reference 28

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Observation e7791030-343a-4823-8687-6a88d1225b54 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 29

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Observation ce7e9e32-c186-41c7-a719-a49688ffe11f · outbound

This paper cites IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities.

Interpretable models for forecasting high-dimensional functional time series IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 30

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Observation a4a91a50-1967-4504-9fb6-a63e3698447d · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 31

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Observation 23b8fc8b-de73-4a27-a14e-290270960fb5 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 32

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Observation 7182506b-3c03-4b79-a93c-a2866a1e9856 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Interpretable models for forecasting high-dimensional functional time series Prompt Injection attack against LLM-integrated Applications

Reference 33

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Observation 26bd0ff2-dd86-43c6-8532-c384d5ba0b92 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Observation 0866f5e2-c74c-461c-8059-47b6a29ed5dc · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 35

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Observation 2e537db3-7d46-4311-9524-61c210d30571 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

Reference 36

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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Observation 915893c1-9c57-46a5-8f95-cc6cb33c0891 · outbound

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Interpretable models for forecasting high-dimensional functional time series Unresolved cited work

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