Pith Number

pith:YDK4SF6T

pith:2026:YDK4SF6TNZE6N3HVM4SEXI3777

not attested not anchored not stored refs pending

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction

ChengXiang Zhai, Himanshu Udupi, Xiaocong Yang

Extending convexification to recurrent threshold networks enables a parameter reconstruction algorithm for globally optimal SNN training.

arxiv:2605.08022 v2 · 2026-05-08 · cs.NE · cs.AI · cs.LG

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\pithnumber{YDK4SF6TNZE6N3HVM4SEXI3777}

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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

we propose a parameter reconstruction algorithm for SNN training that demonstrates consistent and significant advantages across various tasks, both as a standalone method and in combination with surrogate-gradient training.

C2weakest assumption

That extending convexification from parallel feedforward threshold networks to parallel recurrent threshold networks is valid and that this subsumes SNNs as a structured special case allowing global optimality via parameter reconstruction.

C3one line summary

A new parameter reconstruction method achieves globally optimal training for spiking neural networks by convexifying parallel recurrent threshold networks that include SNNs as a special case.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-06-30T00:15:09.897576Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c0d5c917d36e49e6ecf567244ba37fffce8c564cc0450d4538645e84e34e2ccc

Aliases

arxiv: 2605.08022 · arxiv_version: 2605.08022v2 · doi: 10.48550/arxiv.2605.08022 · pith_short_12: YDK4SF6TNZE6 · pith_short_16: YDK4SF6TNZE6N3HV · pith_short_8: YDK4SF6T

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/YDK4SF6TNZE6N3HVM4SEXI3777 \
  | 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: c0d5c917d36e49e6ecf567244ba37fffce8c564cc0450d4538645e84e34e2ccc

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "62dbc7deb161d1d3193e6963e64c2778b78d1752a69e060defc178d54adde81a",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2026-05-08T17:10:08Z",
    "title_canon_sha256": "5270f8f000bddbd66d42c49a0d160ac2f7e7ce826c037fbdb5840ca9bb242d07"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.08022",
    "kind": "arxiv",
    "version": 2
  }
}