Paper Citation Record · LEDGER

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

As of 24 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2603.18104.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.18104 v5

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T23:03:58.008815Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:29:30.402894Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-02T11:26:54.678503Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ee62c45-4086-4829-9809-37ecb4266f9a · outbound

This paper cites MLIR-AIE: An MLIR-based toolchain for AMD AI engines, 2024.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI MLIR-AIE: An MLIR-based toolchain for AMD AI engines, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219657c6-3074-4257-b92e-788d57a1857b · outbound

This paper cites Banko and E.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Banko and E

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0055ec3-8f09-423a-8e81-850e790116ad · outbound

This paper cites Gradients without Backpropagation.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Gradients without Backpropagation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50eb907f-e4ce-4ff9-b971-a28506e0d7c8 · outbound

This paper cites Fl¨ ugel, D.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Fl¨ ugel, D

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3b88994-ac7d-404a-b965-0b21242539f1 · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c7dc01-8411-42db-9073-859d0df33415 · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb5db015-cd71-4421-a658-d789a24aafc3 · outbound

This paper cites De Keninck, M.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI De Keninck, M

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a599c2e-ddc2-4739-bd37-cee5b1d13dca · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d4d733-3228-434d-9344-2303363fd18b · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d06f097-e5b6-4a25-b79f-87f83c80488d · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7857b7f6-0047-42b6-9661-3eacd7c17fdb · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef3e2b5-43f2-4d15-95d6-f790ea16acbb · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff575a54-141c-4173-9b56-177bf93c2ad6 · outbound

This paper cites WAMI: Compilation to WebAssembly through MLIR without Losing Abstraction.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI WAMI: Compilation to WebAssembly through MLIR without Losing Abstraction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6183a9e-d2ae-49b6-b8d7-b019d45239e5 · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe4fd80-5c9b-4d56-9926-092a3fd95e12 · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f5fcd91-777c-481b-bb04-8b7fe00b72a8 · outbound

This paper cites Lattner et al.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Lattner et al

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4363f7-8d6b-4548-8f79-c260621bc28e · outbound

This paper cites Petricek, D.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Petricek, D

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed2fe92-0773-4303-8b44-37ab12c119a2 · outbound

This paper cites Raissi, P.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Raissi, P

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a320408d-3bef-477b-ab41-b989120e1258 · outbound

This paper cites Rico et al.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Rico et al

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac12f86-91f1-484d-aea5-bc9e5d70353b · outbound

This paper cites Clifford Group Equivariant Neural Networks.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Clifford Group Equivariant Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650c3569-88c8-4af0-86aa-b58151fba3e6 · outbound

This paper cites Halevy, P.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Halevy, P

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f22ecbe9-7654-49d5-a3b6-397d8f83a3f9 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a87c1b2a-ee40-483a-a5c3-338854470fe3 · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5df4c0c7-98d2-42b7-86e5-c075177c9a69 · outbound

This paper cites Zhdanov et al.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Zhdanov et al

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd11d8c2-569f-4986-b12a-8dca618a2636 · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703faf52-0409-4d5a-b910-261719aeb09e · outbound

This paper cites van Steenkiste and T.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI van Steenkiste and T

Reference 26

Resolution: malformed identifier; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 797dfa24-425e-4683-a13e-1a41cba80de1 · outbound

This paper cites BitNet: Scaling 1-bit Transformers for Large Language Models.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b9eafd-416c-4c05-aeda-fb4b72e522f4 · outbound

This paper cites an unresolved cited work.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d4202cfb-3c91-4b54-89c8-bbf16e73ea18 · inbound

Decidable By Construction: Design-Time Verification for Trustworthy AI cites this paper.

Decidable By Construction: Design-Time Verification for Trustworthy AI Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:48:25.068625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f798e10-4492-4289-a78f-4de041566f3a · inbound

Fixed-Point Scaffolding in the Clef Programming Language cites this paper.

Fixed-Point Scaffolding in the Clef Programming Language Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:56:27.193293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbb64cfe-a5c1-4a6b-be3b-5d7d7c7164ee · inbound

Negative and Fractional Types in the Fidelity Framework cites this paper.

Negative and Fractional Types in the Fidelity Framework Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:26:54.679841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.