Public AI signal chronicle

What changed across the public AI landscape?

The signal chronicle preserves changes across our public data projections in a complete private append-only archive. This page presents a bounded, balanced publication window with stable identifiers, observation times and original sources.

Complete private append-only archiveBounded, balanced publication windowObservation and effective time stay separateNo generative AI model
Chronicle generated 31 Aug 2026, 09:31Observed since 17 Jul 2026Revision 401Schema ki-signalchronik.public.v1
chronicle events6,500immutable observations in the complete private archive
newly observed4,490first appeared in a later projection
changed subjects4,825stable identifiers with at least one change
covered data lanes8active lanes and lanes limited to their baseline
The critical time boundary

Observed does not mean effective

The chronicle separates when we observed a change from an effective date stated by the source. If a record is missing in a later run, it is not automatically deleted or withdrawn.

observedAt ≠ effectiveAt
1,000 results
Append-only change feed

Every change remains in the complete archive

The private archive preserves every event immutably. This public page shows a bounded, balanced window grouped by observation time; open the record-level evidence or jump into the matching data tool to inspect the current state.

15 events
  1. NewPatents

    docdb:91644328

    Effective in the source:
    Observation state set
    Not observedobserved
  2. UpdatedPatents

    docdb:92146053

    Effective in the source:
    AI categories changed
    neural networksknowledge-based models · machine learning · neural networks
    CPC symbols increased
    116
  3. UpdatedPatents

    docdb:87501021

    Effective in the source:
    AI categories changed
    machine learningknowledge-based models · machine learning · neural networks
    CPC symbols increased
    112
  4. UpdatedPatents

    docdb:87008326

    Effective in the source:
    AI categories changed
    machine learningknowledge-based models · machine learning · neural networks
    CPC symbols increased
    210
  5. NewPatents

    docdb:94395433

    Effective in the source:
    Observation state set
    Not observedobserved
  6. UpdatedPatents

    docdb:100820251

    Effective in the source:
    CPC symbols increased
    14
  7. NewPatents

    docdb:77613727

    Effective in the source:
    Observation state set
    Not observedobserved
  8. NewPatents

    docdb:74645813

    Effective in the source:
    Observation state set
    Not observedobserved
  9. UpdatedPatents

    docdb:92421108

    Effective in the source:
    AI categories changed
    knowledge-based models · machine learningknowledge-based models · machine learning · neural networks · probabilistic graphical models
    CPC symbols increased
    213
  10. NewPatents

    docdb:82319761

    Effective in the source:
    Observation state set
    Not observedobserved
  11. NewPatents

    docdb:96773150

    Effective in the source:
    Observation state set
    Not observedobserved
  12. UpdatedPatents

    docdb:88992549

    Effective in the source:
    AI categories changed
    machine learningknowledge-based models · machine learning
    CPC symbols increased
    12
  13. NewPatents

    docdb:100774028

    Effective in the source:
    Observation state set
    Not observedobserved
  14. UpdatedPatents

    docdb:100821101

    Effective in the source:
    CPC symbols increased
    23
  15. UpdatedPatents

    docdb:100819415

    Effective in the source:
    AI categories changed
    knowledge-based modelsknowledge-based models · machine learning · neural networks · probabilistic graphical models
    CPC symbols increased
    18
7 events
  1. NewPublic administration AI

    summ ai Übersetzungstool

    Observation state set
    Not observedobserved
  2. NewPatents

    docdb:98694926

    Effective in the source:
    Observation state set
    Not observedobserved
  3. NewPatents

    docdb:77914807

    Effective in the source:
    Observation state set
    Not observedobserved
  4. NewPublic administration AI

    F13-ReferenzTE

    Observation state set
    Not observedobserved
  5. NewPatents

    docdb:100839102

    Effective in the source:
    Observation state set
    Not observedobserved
  6. UpdatedPublic administration AI

    KIPITZ

    Profile source state changed
    31 Oct 2025, 15:4328 Aug 2026, 14:17
  7. NewPublic administration AI

    summ ai KI Prozessmanagement Software

    Observation state set
    Not observedobserved
18 events
  1. UpdatedPublic administration AI

    Nutzung von generativer KI zur Beschreibung von Indikatoren (Zeitreihen) zu Klimawandelfolgen und -anpassung

    Profile source state changed
    16 Jul 2026, 11:3311 Aug 2026, 16:46
  2. UpdatedPublic administration AI

    Veränderungserkennung mittels Fernerkundung (FernVE)

    Ministry changed
    Ministerium des Innern und für Sport Rheinland-PfalzMinisterium für Wirtschaft, Tourismus, Energie und Klima Rheinland-Pfalz
  3. UpdatedPublic administration AI

    FRED

    Risk classification changed
    minimallimited
    Profile source state changed
    24 Nov 2025, 10:1807 Aug 2026, 11:21
  4. UpdatedPublic administration AI

    LLMoin

    Profile source state changed
    18 May 2026, 08:1324 Aug 2026, 15:29
    Status changed
    developmentoperational
  5. UpdatedPublic administration AI

    KIVA (KI-VerwaltungsAssistenz)

    Authority changed
    Ministerium des Inneren, für Digitalisierung und Kommunen Baden-Württemberg Baden-WürttembergMinisterium des Inneren, für Digitalisierung und Europa Baden-Württemberg Baden-Württemberg
    Ministry changed
    Ministerium des Inneren, für Digitalisierung und Kommunen Baden-Württemberg Baden-WürttembergMinisterium des Inneren, für Digitalisierung und Europa Baden-Württemberg Baden-Württemberg
  6. UpdatedPublic administration AI

    Cybernotruf für die öffentliche Verwaltung in Rheinland-Pfalz

    Authority changed
    Ministerium für Arbeit, Soziales, Transformation und Digitalisierung Rheinland-PfalzMinisterium für Arbeit, Soziales, Frauen, Familie und Jugend Rheinland-Pfalz
    Ministry changed
    Ministerium für Arbeit, Soziales, Transformation und Digitalisierung Rheinland-PfalzMinisterium für Arbeit, Soziales, Frauen, Familie und Jugend Rheinland-Pfalz
  7. UpdatedPublic administration AI

    ProAIT

    Profile source state changed
    20 Apr 2026, 12:4124 Aug 2026, 14:10
  8. UpdatedPublic administration AI

    kida4bmel/oil

    Short description changed
    xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxVerfälschungen von Ölen wie Kaktussamenöl erfordern zuverlässige Authentifizierungsmethoden. Diese Studie kombiniert Analysedaten aus Fettsäuren, Triacylglycerinen und Tocochromanolen mit Datensimulationen und Machine-Learning-Modellen. Monte-Carlo-Simulationen erzeugten neue Datensätze für Random-Forest-Modelle und…
    Profile source state changed
    29 Oct 2025, 21:4625 Aug 2026, 10:06
  9. UpdatedPublic administration AI

    F13/Transkription (Microservice)

    Intervention options published changed
    NoYes
    Project link published changed
    NoYes
    Profile source state changed
    11 Feb 2026, 15:1720 Aug 2026, 11:32
    Status changed
    developmentoperational
  10. UpdatedPublic administration AI

    LLMoin

    Profile source state changed
    30 Mar 2026, 12:2227 Aug 2026, 15:17
    Status changed
    developmentoperational
  11. UpdatedPublic administration AI

    profil/PICUS/Flora Incognita

    Authority changed
    Ministerium für Ernährung, Ländlichen Raum und Verbraucherschutz Baden-WürttembergMinisterium für Ländlichen Raum, Landwirtschaft und Heimat Baden-Württemberg
    Ministry changed
    Ministerium für Ernährung, Ländlichen Raum und Verbraucherschutz Baden-WürttembergMinisterium für Ländlichen Raum, Landwirtschaft und Heimat Baden-Württemberg
  12. UpdatedPublic administration AI

    Stellungnahmen im Gesetzgebungsverfahren

    Risk classification changed
    minimallimited
    Profile source state changed
    31 Oct 2025, 09:5407 Aug 2026, 11:22
  13. UpdatedPublic administration AI

    kida4bmel/oil

    Short description changed
    Verfälschungen von Ölen wie Kaktussamenöl erfordern zuverlässige Authentifizierungsmethoden. Diese Studie kombiniert Analysedaten aus Fettsäuren, Triacylglycerinen und Tocochromanolen mit Datensimulationen und Machine-Learning-Modellen. Monte-Carlo-Simulationen erzeugten neue Datensätze für Random-Forest-Modelle und…xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
    Profile source state changed
    25 Aug 2026, 10:0629 Oct 2025, 21:46
  14. UpdatedPublic administration AI

    KIVA (KI-VerwaltungsAssistenz)

    Authority changed
    Ministerium des Inneren, für Digitalisierung und Europa Baden-Württemberg Baden-WürttembergMinisterium des Inneren, für Digitalisierung und Kommunen Baden-Württemberg Baden-Württemberg
    Ministry changed
    Ministerium des Inneren, für Digitalisierung und Europa Baden-Württemberg Baden-WürttembergMinisterium des Inneren, für Digitalisierung und Kommunen Baden-Württemberg Baden-Württemberg
  15. UpdatedPublic administration AI

    Stellungnahmen im Gesetzgebungsverfahren

    Risk classification changed
    limitedminimal
    Profile source state changed
    07 Aug 2026, 11:2231 Oct 2025, 09:54
  16. UpdatedPublic administration AI

    LLMoin

    Profile source state changed
    24 Aug 2026, 15:2918 May 2026, 08:13
    Status changed
    operationaldevelopment
  17. UpdatedPublic administration AI

    ProAIT

    Profile source state changed
    24 Aug 2026, 14:1020 Apr 2026, 12:41
  18. UpdatedPublic administration AI

    LLMoin

    Profile source state changed
    27 Aug 2026, 15:1730 Mar 2026, 12:22
    Status changed
    operationaldevelopment
Deterministic method

From a snapshot to an auditable event

The chronicle compares versioned projections by stable identifier. It describes differences without inventing reasons, impact or identities.

  1. 1
    Preserve the snapshot

    Every successful source state receives an immutable timestamp and revision.

  2. 2
    Canonicalize identifiers

    Subjects are recognized across runs only through published stable source identifiers.

  3. 3
    Compare fields

    Versioned rules distinguish the baseline, new records, updates, corrections and explicit withdrawals.

  4. 4
    Append the event

    The difference enters the chronicle with before, after, provenance and a direct link.

Collection, comparison, classification and presentation use no generative AI model.

Source snapshots

Every input retains its own timestamp

The chronicle run does not replace individual source dates. Open the original evidence when you need to inspect a change in context.

31 Aug 2026, 04:23AI patent families with German association signalsOpen source ↗

How to read the chronicle correctly

  • The baseline is a first observation, not a historical change.
  • A change may have become effective before it was first observed.
  • A missing record is not a withdrawal without an explicit source signal.
  • A correction describes a changed source state and does not automatically imply an error by the organization concerned.
  • Bounded data lanes are never extrapolated to a supposed full population.
  • Temporal sequence proves neither cause nor impact.

Frequently asked questions

Is the baseline a list of earlier changes?
No. It documents only what existed when longitudinal observation began. Real changes arise only from comparison with later successful snapshots.
Why are there two timestamps?
observedAt shows when our collector recognized a difference. effectiveAt contains an effective time only when the source itself supplies one. The two can be far apart.
Does a disappearing record mean it was deleted?
No. A record may be temporarily absent, a source may change its coverage, or a run may be bounded. A withdrawal appears only when there is an explicit and reliable source signal.
How are subjects recognized across runs?
Only through stable source identifiers or published exact identifier crosswalks. Matching or similar names never create an automatic connection.
Does the signal chronicle use generative AI?
No. Snapshotting, normalization, comparison, event classification and presentation follow versioned deterministic rules.

Want to track changes in public data reliably?

We build append-only data chronicles, collectors and evidence products with stable identifiers and verifiable provenance.

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