Pith Number

pith:H52DLYJ5

pith:2026:H52DLYJ5RKWIPJADHZ36262HXI

not attested not anchored not stored refs resolved

Exploring Geographic Relative Space in Large Language Models through Activation Patching

Kevin Roitero, Rahul Baiju, Stefano Mizzaro, Stef De Sabbata

Large language models encode relative geographic space in patterns isolatable by activation patching.

arxiv:2605.14535 v1 · 2026-05-14 · cs.LG

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2 Internet Archive

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

We examine how LLMs process relative geographic space using activation patching, an emerging tool for mechanistic interpretability.

C2weakest assumption

That activation patching can meaningfully isolate and reveal the mechanisms by which LLMs represent relative geographic space.

C3one line summary

Activation patching is used to explore how LLMs encode relative geographic relationships.

References

12 extracted · 12 resolved · 0 Pith anchors

[1] Geospatial Mechanistic Interpretability of Large Language Models , author=. 2025 , eprint= 2025

[2] Computing Geographically: Bridging Giscience and Geography , author=. 2024 , publisher= 2024

[3] Locating and Editing Factual Associations in GPT , volume =

[4] Investigating Gender Bias in Language Models Using Causal Mediation Analysis , volume =

[5] Towards Best Practices of Activation Patching in Language Models: Metrics and Methods , author=. 2024 , eprint= 2024

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-17T23:39:05.896196Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3f7435e13d8aac87a4033e77ed7b47ba1cb9f482cd692e447eb5924741003fe7

Aliases

arxiv: 2605.14535 · arxiv_version: 2605.14535v1 · doi: 10.48550/arxiv.2605.14535 · pith_short_12: H52DLYJ5RKWI · pith_short_16: H52DLYJ5RKWIPJAD · pith_short_8: H52DLYJ5

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/H52DLYJ5RKWIPJADHZ36262HXI \
  | 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: 3f7435e13d8aac87a4033e77ed7b47ba1cb9f482cd692e447eb5924741003fe7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fffae026f5dbd0c2dedeb494dd683b1d315ff8c5ea7f48ab2ce122c8e141cb95",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-14T08:18:31Z",
    "title_canon_sha256": "d4800f9b7aa5673c5ce0e6892ee910f27c7f6e4d47e68e9a3d77983ca7b105a1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14535",
    "kind": "arxiv",
    "version": 1
  }
}