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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 12 Aug 2026, 16:28Observed since 17 Jul 2026Revision 229Schema ki-signalchronik.public.v1
chronicle events4,990immutable observations in the complete private archive
newly observed3,153first appeared in a later projection
changed subjects3,482stable 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 If a record is missing in a later run, it is not automatically deleted or withdrawn.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.

2 events
  1. NewPublic administration AI

    KI-basierte Besichtigungsassistenz (BesA)

    Observation state set
    Not observedobserved
  2. 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
38 events
  1. NewPatents

    docdb:100646819

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

    docdb:100578398

    Effective in the source:
    AI categories changed
    knowledge-based modelsknowledge-based models · machine learning
    CPC symbols increased
    12
  3. UpdatedPatents

    docdb:100577328

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

    docdb:100578318

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

    docdb:100620119

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

    docdb:100620263

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

    docdb:100577299

    Effective in the source:
    CPC symbols increased
    12
  8. UpdatedPatents

    docdb:100577301

    Effective in the source:
    AI categories changed
    neural networksmachine learning · neural networks
    CPC symbols increased
    23
  9. UpdatedPatents

    docdb:100577295

    Effective in the source:
    CPC symbols increased
    12
  10. NewPatents

    docdb:94384353

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

    docdb:100620095

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

    docdb:100646800

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

    docdb:100504018

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

    docdb:100723503

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

    docdb:100646817

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

    docdb:94768819

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

    docdb:99513629

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

    docdb:100577320

    Effective in the source:
    AI categories changed
    neural networksmachine learning · neural networks
    CPC symbols increased
    23
  19. NewPatents

    docdb:100500913

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

    docdb:100578481

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

    docdb:100504038

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

    docdb:100620488

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

    docdb:100577303

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

    docdb:100578306

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

    docdb:100507909

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

    docdb:100577321

    Effective in the source:
    AI categories changed
    knowledge-based modelsknowledge-based models · machine learning · neural networks · probabilistic graphical models
    CPC symbols increased
    27
  27. NewPatents

    docdb:91960437

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

    docdb:100515798

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

    docdb:99887621

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

    docdb:100577302

    Effective in the source:
    AI categories changed
    knowledge-based modelsknowledge-based models · machine learning
    CPC symbols increased
    23
  31. UpdatedPatents

    docdb:100578451

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

    docdb:100578567

    Effective in the source:
    CPC symbols increased
    23
  33. NewPatents

    docdb:100646781

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

    docdb:100577313

    Effective in the source:
    AI categories changed
    neural networksmachine learning · neural networks
    CPC symbols increased
    25
  35. NewPatents

    docdb:100620436

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

    docdb:78940058

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

    docdb:100578453

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

    docdb:100507988

    Effective in the source:
    Observation state set
    Not observedobserved
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.

11 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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Useful next steps

These tools complement the current result.

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IndexPublic AI outcome ledgerFollow public AI funding from projects and organizations to reported outputs and citations. Every connection retains its evidence; patents and procurement appear only with exact identifier bridges.IndexPublic AI actorsSearch organizations across funding, research, procurement, influence and infrastructure. Every role stays tied to its source; matching names are queued for review only.IndexAI innovation pathFollow evidence-backed links from EU funding to reported research outputs—and see exactly where patents or procurement cannot yet be joined safely.