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Paper Citation Record · LEDGER

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2512.16674.

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

pith.paper-citation-record.v1
2512.16674 v5

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:33:26.511342Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:39:54.451737Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation c127d0f0-31e9-47f1-8830-bddc38b3755d · outbound

This paper cites Mitarai, M.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Mitarai, M

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:33:25.139976Z digest=sha256:dccc497f55799f705a43716ab9d5df998a1a5ee9b9f669785622c3cef0e575a4

Observation ebf0c498-c473-44da-8170-84ce247840ae · outbound

This paper cites Deng, The mnist database of handwritten digit images for machine learning research, IEEE Signal Processing Magazine29, 141 (2012).

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Deng, The mnist database of handwritten digit images for machine learning research, IEEE Signal Processing Magazine29, 141 (2012)

Reference 2

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source=pdf_text observed=2026-08-03T15:33:25.203280Z digest=sha256:d851543cdf2905198d70acd4a3b083939470369d91c6cfeabcf16319a18a77a5

Observation 95c4a61d-e08b-4df8-a6a4-3efadc46d058 · outbound

This paper cites Recio-Armengol, S.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Recio-Armengol, S

Reference 3

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source=pdf_text observed=2026-08-03T15:33:25.294442Z digest=sha256:9510a328f4df23bbda3a20c38ac98776a2c0a110863add3eab28e7ab0d939bb8

Observation fe864608-5102-40e3-bbb2-04bc1b76a8bb · outbound

This paper cites an unresolved cited work.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-03T15:33:25.355733Z digest=sha256:38a5952ca3ca430729df0e9cf58c21459080704a7f8818094bb6391a32e4c708

Observation 3a4a984c-d03c-43cd-a01c-54fa9983d6db · outbound

This paper cites an unresolved cited work.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-03T15:33:25.432744Z digest=sha256:0d2cbdc52198a4336171ce83dbe867a23a800931115902112cd26ac9a06d726b

Observation 8d2e333a-ca5d-4670-a784-74b951cbfe57 · outbound

This paper cites Angrisani, A.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Angrisani, A

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:33:25.492152Z digest=sha256:5f1bcb59ba83cd2732eb8cefdb2223274e24416bfa3be6bf108afd929ec2ce5a

Observation 6c978c5a-e36d-433b-be87-8e78d8889740 · outbound

This paper cites Bowles, D.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Bowles, D

Reference 7

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source=pdf_text observed=2026-08-03T15:33:25.574492Z digest=sha256:087edd4d4256825dccbc3a0cd9d9bf68e97b12f9a7837abc8d92201fd56f3224

Observation afd0bd60-f757-4947-9e45-309e8eca6183 · outbound

This paper cites an unresolved cited work.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-03T15:33:25.641770Z digest=sha256:c4099d69e3920fe03b43bcc9a0fe38c7c3ce754fb3f3a73c47e2689fe3ef675d

Observation 056219f8-ff21-44df-b114-ced8e331c433 · outbound

This paper cites Selke, The annni model—theoretical analysis and ex- perimental application, Physics Reports170, 213 (1988).

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Selke, The annni model—theoretical analysis and ex- perimental application, Physics Reports170, 213 (1988)

Reference 9

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source=pdf_text observed=2026-08-03T15:33:25.692991Z digest=sha256:b4cee889b9326b4e1ca2eef2b950219f9709276bc9569ea334c78bfad76a55f5

Observation 19303faf-ef34-48fd-b033-5feacf03cf80 · outbound

This paper cites The Heisenberg Representation of Quantum Computers.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits The Heisenberg Representation of Quantum Computers

Reference 10

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source=pdf_text observed=2026-08-03T15:33:25.757314Z digest=sha256:d6736d6365d0d7a016d28bb1052e29cf8b3e53631c202c8bb837a454c4baddf6

Observation acc6ff89-1f8b-4b4e-b875-1669605509c3 · outbound

This paper cites Bravyi and A.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Bravyi and A

Reference 11

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source=pdf_text observed=2026-08-03T15:33:25.820068Z digest=sha256:33a262f899ba21fb6aad67585059d3a5b506fa428ddc6fdc923382887537e3dd

Observation fb5aba34-581e-4721-bfe4-9219c21c42bd · outbound

This paper cites Li and S.-X.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Li and S.-X

Reference 12

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source=pdf_text observed=2026-08-03T15:33:25.889542Z digest=sha256:e13a158d01a26cd1e2cabc2f26299700390988889703abf39cf4f8a6ae6e2e67

Observation 83a8f9c8-01f6-4a81-a5f4-2ad877303a42 · outbound

This paper cites Tilly, H.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Tilly, H

Reference 13

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source=pdf_text observed=2026-08-03T15:33:25.948073Z digest=sha256:454f12a8ac1c374ac4fa17703d9bdc6b38936bc9dac958075c3c87997fb035d5

Observation 3505b4c5-71cb-4344-bc0d-02ca4cfd5fec · outbound

This paper cites Monaco, O.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Monaco, O

Reference 14

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-03T15:33:26.013610Z digest=sha256:aa13975511f13e3b6990c2d84978fd30e64a2e2a247849c572e6c8c85a0c5535

Observation d2f14316-9e8a-4364-b371-f4817502c70d · outbound

This paper cites Kottmann, F.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Kottmann, F

Reference 15

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no resolver link, observed 2026-08-03T15:33:26.084713Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:33:26.084713Z digest=sha256:03629669a9903e294dca7f31fe37f76ceb6e52fcca8ef44bc33ed0c484b3d565

Observation 8c3195fd-5017-4e6a-9712-6f44e30ffc88 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Adam: A Method for Stochastic Optimization

Reference 16

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source=pdf_text observed=2026-08-03T15:33:26.152699Z digest=sha256:de9d751842b3f9c0c99f2fba5a6d8719621f40b5e46057035af8e45dad17bac8

Observation fb1be63d-21b7-46f0-a149-de6fb3b9a309 · outbound

This paper cites Monaco, J.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits Monaco, J

Reference 17

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source=pdf_text observed=2026-08-03T15:33:26.238070Z digest=sha256:ee7d14f5f00777b8cf2eeb60b3c5af5d6ed0d4531e14d4dc88af2390f7e8f87b

Observation 3df9dcf8-4607-4210-900b-a734345d606c · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:33:26.354819Z digest=sha256:8e0ae158d1e96f10d7f0389659dd82438b88bd2846345b1760b695d0f369f868

Observation 4f13e664-7b70-421f-b23f-b33e417a50cf · outbound

This paper cites For any gate set admitting a valid parameter-shift rule.

Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits For any gate set admitting a valid parameter-shift rule

Reference 19

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source=pdf_text observed=2026-08-03T15:33:26.511342Z digest=sha256:a563a169f2d0d509cbeaab12b7349f99c468cd0d9faeebd10073e88558f17db1

Pith citing papers

Observation 0ea60aba-3f7a-4cfb-9c21-f238ae07d3d7 · inbound

Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm cites this paper.

Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits

Reference 101

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local_arxiv, observed 2026-06-29T03:53:04.672801Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T03:52:17.171544Z digest=sha256:0c74df3a085d753873064bb0bc3d92d0c673de1a1afe2227cae9db67d2a70fb2

Observation 9c7bd7a2-b7e9-45e9-a14f-1b180e68f5c7 · inbound

Backpropagating Pauli Propagation cites this paper.

Backpropagating Pauli Propagation Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits

Reference 37

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source=pdf_text observed=2026-08-01T23:57:34.619142Z digest=sha256:28d913fb609738a1e00080ac65d7f1c3da3e3b8960a5a2b5fceb9c25e1df81e7

Observation 5d341122-f434-4359-99d2-cccf50960bd9 · inbound

Stochastic Pauli-path simulator for large-scale quantum optimization cites this paper.

Stochastic Pauli-path simulator for large-scale quantum optimization Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits

Reference 30

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source=pdf_text observed=2026-08-15T15:39:54.451737Z digest=sha256:f4fba0103907212a3e0b0d7fcc4be1eb30f317178c06dd180211ec094a48a1ab