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Pith Number

pith:U7TNG5CW

pith:2017:U7TNG5CWHUEU7G5SKCKB6WIXZN
not attested not anchored not stored refs pending

Less-forgetful Learning for Domain Expansion in Deep Neural Networks

Heechul Jung, Jeongwoo Ju, Junmo Kim, Minju Jung

arxiv:1711.05959 v1 · 2017-11-16 · cs.LG · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U7TNG5CWHUEU7G5SKCKB6WIXZN}

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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.
Receipt and verification
First computed 2026-05-18T00:30:23.684299Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a7e6d374563d094f9bb250941f5917cb542e4a87b40aff0a8a859e947b23d97e

Aliases

arxiv: 1711.05959 · arxiv_version: 1711.05959v1 · doi: 10.48550/arxiv.1711.05959 · pith_short_12: U7TNG5CWHUEU · pith_short_16: U7TNG5CWHUEU7G5S · pith_short_8: U7TNG5CW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U7TNG5CWHUEU7G5SKCKB6WIXZN \
  | 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: a7e6d374563d094f9bb250941f5917cb542e4a87b40aff0a8a859e947b23d97e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "63b78537707e3545dab8146902ebff1fb21394d8cb59db23809298cce5c0ae80",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-11-16T07:04:51Z",
    "title_canon_sha256": "7367013fe6511c67e4dc0ba6d8211f7e2e166f0885ecec9b0e88ca16a0aa8585"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1711.05959",
    "kind": "arxiv",
    "version": 1
  }
}