Pith Number

pith:AOYDZ67T

pith:2026:AOYDZ67TNULUG42JXM3SOCA52Y

not attested not anchored not stored refs pending

Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics

Andreas Pattichis, Constantine Dovrolis

Coupling fast and slow variables on knowledge-graph edges lets external memory adapt on its own for continual LLM updates.

arxiv:2605.05097 v3 · 2026-05-06 · cs.LG · cs.AI · cs.CL

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\usepackage{pith}
\pithnumber{AOYDZ67TNULUG42JXM3SOCA52Y}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

From this coupling, episodic sensitivity, gradual consolidation, and selective forgetting emerge as facets of a single mechanism, reframing external memory as a learning substrate that reorganizes through its own dynamics.

C2weakest assumption

That the Benna-Fusi multi-timescale coupling, when placed on the edges of an LLM knowledge graph, will produce stable continual learning without introducing interference, scalability bottlenecks, or loss of previously consolidated knowledge.

C3one line summary

Memini organizes LLM knowledge as a directed graph whose edges follow coupled fast-slow dynamics so that episodic recall, consolidation, and selective forgetting arise automatically from a single mechanism.

Formal links

3 machine-checked theorem links

Receipt and verification

First computed	2026-06-25T01:17:53.747837Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

03b03cfbf36d17437349bb3727081dd607a4836d2d088a3930b6cfa5f31d139a

Aliases

arxiv: 2605.05097 · arxiv_version: 2605.05097v3 · doi: 10.48550/arxiv.2605.05097 · pith_short_12: AOYDZ67TNULU · pith_short_16: AOYDZ67TNULUG42J · pith_short_8: AOYDZ67T

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/AOYDZ67TNULUG42JXM3SOCA52Y \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 03b03cfbf36d17437349bb3727081dd607a4836d2d088a3930b6cfa5f31d139a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9ddf7a565f98cb5f197af68c46b3b1750e1a8237d0dc1ea983054ef06f2b7fc1",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-06T16:33:42Z",
    "title_canon_sha256": "846c777b9d8a220276bc738f2d20d371024f5b10647aa49c70ad0f79fca44a73"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.05097",
    "kind": "arxiv",
    "version": 3
  }
}