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pith:TEIOMHJT

pith:2026:TEIOMHJTIAWZPAC2D57CFCFFGH
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All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs

Bangwei Guo, Dimitris N. Metaxas, Gerald Penn, Jingcheng Niu, Jinman Zhao, Mingyu Jin, Xi Chen, Yutao Yue, Yutong Yin, Zhaoran Wang

A single task in large language models can be performed by multiple structurally distinct circuits or sheaves that are all faithful, sparse, and complete.

arxiv:2605.12671 v1 · 2026-05-12 · cs.CL

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Claims

C1strongest claim

We show that a single LLM task can instead be supported by multiple, structurally distinct circuits or sheaves that are simultaneously faithful, sparse, and complete.

C2weakest assumption

That the Overlap-Aware Sheaf Repulsion penalty successfully uncovers genuinely distinct mechanisms without introducing methodological artifacts, and that the theoretical analysis of high-dimensional superposition holds under the stated mild assumptions.

C3one line summary

LLM tasks are supported by multiple distinct circuits rather than unique mechanisms, demonstrated via Overlap-Aware Sheaf Repulsion and the Distributive Dense Circuit Hypothesis.

References

300 extracted · 300 resolved · 5 Pith anchors

[1] Abdelmalik, Philip and Peron, Emilie and Schnitzler, Johannes and Fontaine, Julie and Elfenkampera, Eva and Barbozaa, Philippe , year = 2018, journal = 2018
[2] Proceedings of the 25th
[3] From Language as System to Language as Use:
[4] Ackema, Peter and Neeleman, Ad , year = 2004, publisher = 2004
[5] Adger, David , year = 2003, publisher = 2003
Receipt and verification
First computed 2026-05-18T03:09:50.224482Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9910e61d33402d97805a1f7e2288a531ce206f4307ac3f8348a0d04acbd89c17

Aliases

arxiv: 2605.12671 · arxiv_version: 2605.12671v1 · doi: 10.48550/arxiv.2605.12671 · pith_short_12: TEIOMHJTIAWZ · pith_short_16: TEIOMHJTIAWZPAC2 · pith_short_8: TEIOMHJT
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/TEIOMHJTIAWZPAC2D57CFCFFGH \
  | 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: 9910e61d33402d97805a1f7e2288a531ce206f4307ac3f8348a0d04acbd89c17
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-05-12T19:21:23Z",
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