pith. sign in
Pith Number

pith:6PLKBFMQ

pith:2026:6PLKBFMQLD6PSTPW574NZ7XMHQ
not attested not anchored not stored refs pending

Geodesic Semantic Search: Cartographic Navigation of Citation Graphs with Learned Local Riemannian Maps

Brandon Yee, Kundana Kommini, Lucas Wang

Learning node-specific Riemannian metrics on citation graphs turns direct similarity search into geodesic navigation that improves recall.

arxiv:2602.23665 v5 · 2026-02-27 · cs.IR · cs.LG · cs.SI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6PLKBFMQLD6PSTPW574NZ7XMHQ}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

On citation prediction benchmarks with 169K arXiv papers, GSS achieves 23% relative improvement in Recall@20 over SPECTER+FAISS baselines.

C2weakest assumption

That the learned local Riemannian metrics meaningfully capture semantic relationships in the citation graph rather than merely fitting training patterns.

C3one line summary

GSS learns per-node low-rank Riemannian metrics on citation graphs and retrieves via geodesic distances, yielding 23% higher Recall@20 than SPECTER+FAISS on 169K arXiv papers.

Receipt and verification
First computed 2026-06-05T01:15:22.468076Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f3d6a0959058fcf94df6eff8dcfeec3c26ef62a4b7e3ff10a5faccc24450fa72

Aliases

arxiv: 2602.23665 · arxiv_version: 2602.23665v5 · doi: 10.48550/arxiv.2602.23665 · pith_short_12: 6PLKBFMQLD6P · pith_short_16: 6PLKBFMQLD6PSTPW · pith_short_8: 6PLKBFMQ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6PLKBFMQLD6PSTPW574NZ7XMHQ \
  | 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: f3d6a0959058fcf94df6eff8dcfeec3c26ef62a4b7e3ff10a5faccc24450fa72
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9eb3e6c6776483ffcf98de7189e1543092a7c4cb29c6c97ddcb406e75285d684",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.SI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.IR",
    "submitted_at": "2026-02-27T04:17:41Z",
    "title_canon_sha256": "28edb9a09a6bd0ec50bb14e10a5cee236ff4d72921e9d3db11a191a08b175d53"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.23665",
    "kind": "arxiv",
    "version": 5
  }
}