Pith Number

pith:G3KSXZ5N

pith:2026:G3KSXZ5NMHFGZXD7VSURZAE42T

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MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining

Hai An Vu, Linh Ngo Van, Minh-Phuc Truong, Phung Gia Huy, Thang Duc Tran, Thanh Hong Nguyen, Trung Le

MIPIC produces Matryoshka embeddings that remain competitive at any truncation size by aligning intra-layer relations through self-distillation and chaining semantics from deep to shallow layers.

arxiv:2604.24374 v2 · 2026-04-27 · cs.CL

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\pithnumber{G3KSXZ5NMHFGZXD7VSURZAE42T}

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

MIPIC yields Matryoshka representations that are highly competitive across all capacities, with significant performance advantages observed under extreme low-dimensional.

C2weakest assumption

That aligning intra-relational structures via top-k CKA self-distillation and incrementally chaining semantics from deeper to earlier layers will produce structurally coherent and semantically compact representations without introducing distortions or requiring heavy task-specific tuning.

C3one line summary

MIPIC trains nested Matryoshka representations via self-distilled intra-relational alignment with top-k CKA and progressive information chaining across depths, yielding competitive performance especially at extreme low dimensions.

Receipt and verification

First computed	2026-06-03T01:05:14.078919Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

36d52be7ad61ca6cdc7faca91c809cd4cc109c3110791b51a24c53c3ce7bb0b3

Aliases

arxiv: 2604.24374 · arxiv_version: 2604.24374v2 · doi: 10.48550/arxiv.2604.24374 · pith_short_12: G3KSXZ5NMHFG · pith_short_16: G3KSXZ5NMHFGZXD7 · pith_short_8: G3KSXZ5N

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/G3KSXZ5NMHFGZXD7VSURZAE42T \
  | 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: 36d52be7ad61ca6cdc7faca91c809cd4cc109c3110791b51a24c53c3ce7bb0b3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "eda13958633f9bd9242607b6e01bc39eda462092f0b49862543e90931e316bbe",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-04-27T12:07:40Z",
    "title_canon_sha256": "c3549c1f51cffadfb142ff548c22f9d13ddb61ebe9e0459771fbfe1bc34a65a8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.24374",
    "kind": "arxiv",
    "version": 2
  }
}