Paper Citation Record · LEDGER

Divide et impera: hybrid multinomial classifiers from quantum binary models

As of 5 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2604.08094.

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

pith.paper-citation-record.v1
2604.08094 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:10:52.619013Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:52:57.463891Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact4
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 356c30de-1a7d-45b8-a528-db4f0373e23d · outbound

This paper cites Goodfellow, Y.

Divide et impera: hybrid multinomial classifiers from quantum binary models Goodfellow, Y

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.844177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0c4b69a5-1ed3-4220-a612-fb34e862700f · outbound

This paper cites Quantum algorithms for supervised and unsupervised machine learning.

Divide et impera: hybrid multinomial classifiers from quantum binary models Quantum algorithms for supervised and unsupervised machine learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.633830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 312851a6-ddea-4890-9060-7a5d2bb24a2e · outbound

This paper cites an unresolved cited work.

Divide et impera: hybrid multinomial classifiers from quantum binary models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-17T11:44:32.841659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f513589-d6a3-4e31-b2a8-98adf6df23ad · outbound

This paper cites Tacchino, C.

Divide et impera: hybrid multinomial classifiers from quantum binary models Tacchino, C

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.833865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9d28382a-660e-401b-aaeb-c3ed8c2b2d63 · outbound

This paper cites Benatti, S.

Divide et impera: hybrid multinomial classifiers from quantum binary models Benatti, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.825924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9900b256-5258-4774-a810-f52d05af39b5 · outbound

This paper cites Mangini, F.

Divide et impera: hybrid multinomial classifiers from quantum binary models Mangini, F

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.828777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04da687e-7fe5-4ca1-93d1-2c5fece9f428 · outbound

This paper cites an unresolved cited work.

Divide et impera: hybrid multinomial classifiers from quantum binary models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-17T11:44:32.831288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c44f106f-94b8-4b17-bfd2-a405bf63e634 · outbound

This paper cites Killoran, T.

Divide et impera: hybrid multinomial classifiers from quantum binary models Killoran, T

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.836652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d208bb94-3a0e-4f4d-804f-02d88719ccd2 · outbound

This paper cites an unresolved cited work.

Divide et impera: hybrid multinomial classifiers from quantum binary models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-17T11:44:32.817610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation edfee49f-0a02-440d-954a-ebb61b2250cc · outbound

This paper cites Zhang, H.

Divide et impera: hybrid multinomial classifiers from quantum binary models Zhang, H

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.820359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf3003a0-4dd9-4faa-8c55-62e9ec4546da · outbound

This paper cites Spall, X.

Divide et impera: hybrid multinomial classifiers from quantum binary models Spall, X

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.806226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 19ee1ae8-c29a-4e3b-b3fa-5b394d794740 · outbound

This paper cites Stanev, N.

Divide et impera: hybrid multinomial classifiers from quantum binary models Stanev, N

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.809768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fda53c4-030e-4295-b84a-ad1e399e5027 · outbound

This paper cites A Kerr kernel quantum learning machine.

Divide et impera: hybrid multinomial classifiers from quantum binary models A Kerr kernel quantum learning machine

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.617202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e1972b6-8b9d-4516-beb9-a05586e93dfe · outbound

This paper cites Spall, X.

Divide et impera: hybrid multinomial classifiers from quantum binary models Spall, X

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.796913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77739374-a0ea-4a90-9d29-9fec5f56207e · outbound

This paper cites an unresolved cited work.

Divide et impera: hybrid multinomial classifiers from quantum binary models Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-17T11:44:32.792896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad74a98f-99a4-4e00-9aa8-e3967b3620db · outbound

This paper cites Slabbert and F.

Divide et impera: hybrid multinomial classifiers from quantum binary models Slabbert and F

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.756262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bbe8e33f-04ca-4034-8774-3e798f20bf08 · outbound

This paper cites an unresolved cited work.

Divide et impera: hybrid multinomial classifiers from quantum binary models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-17T11:44:32.812391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91f05ff7-51a4-43e3-a0da-6f80bd2c7a58 · outbound

This paper cites Sakurai, A.

Divide et impera: hybrid multinomial classifiers from quantum binary models Sakurai, A

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.779302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90e62a29-9eb3-48c6-94a1-aa1c9b486bd0 · outbound

This paper cites Schuld, A.

Divide et impera: hybrid multinomial classifiers from quantum binary models Schuld, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.775392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e51a945-e568-4b1f-b1ca-ab228790be32 · outbound

This paper cites Havl´ ıˇ cek, A.

Divide et impera: hybrid multinomial classifiers from quantum binary models Havl´ ıˇ cek, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.788277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a76808d4-2e9d-464d-a8be-2fb261d214eb · outbound

This paper cites Maheshwari, D.

Divide et impera: hybrid multinomial classifiers from quantum binary models Maheshwari, D

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.766595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77ee36bd-8715-4770-be56-463995213a9a · outbound

This paper cites Rebentrost, M.

Divide et impera: hybrid multinomial classifiers from quantum binary models Rebentrost, M

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.769076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 705f1a5b-ee3f-46bc-80a7-ef2500941a53 · outbound

This paper cites Schuld and N.

Divide et impera: hybrid multinomial classifiers from quantum binary models Schuld and N

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.803233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a9b27b6-121e-4b5e-a74c-3c1c08819382 · outbound

This paper cites Hubregtsen, D.

Divide et impera: hybrid multinomial classifiers from quantum binary models Hubregtsen, D

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.800304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fdd38660-7412-4783-b438-99c5a1233a3d · outbound

This paper cites Bowie, S.

Divide et impera: hybrid multinomial classifiers from quantum binary models Bowie, S

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.763898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f96ec47a-7bfc-4d8e-9459-237e2201e8af · outbound

This paper cites Sergioli, R.

Divide et impera: hybrid multinomial classifiers from quantum binary models Sergioli, R

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.772465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 866b109c-8189-4354-a23c-c8e66ea1bee1 · outbound

This paper cites Blank, D.

Divide et impera: hybrid multinomial classifiers from quantum binary models Blank, D

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.815132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 78729223-28ac-4fa1-93c9-dc2aae975509 · outbound

This paper cites Nagies, E.

Divide et impera: hybrid multinomial classifiers from quantum binary models Nagies, E

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.611843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6c9907c-54f6-4019-9a40-18b4060ced0f · outbound

This paper cites an unresolved cited work.

Divide et impera: hybrid multinomial classifiers from quantum binary models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-17T11:44:32.839012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92471fd0-d898-46f8-8ad5-f3fa289f1ac4 · outbound

This paper cites Roncallo, A.

Divide et impera: hybrid multinomial classifiers from quantum binary models Roncallo, A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.758978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed3bb0af-5879-46f7-9091-2d936df1d243 · outbound

This paper cites Quantum optical shallow networks.

Divide et impera: hybrid multinomial classifiers from quantum binary models Quantum optical shallow networks

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:18:26.188754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c034cce-6b60-48e6-9a73-c4081e687d86 · outbound

This paper cites Roncallo and A.

Divide et impera: hybrid multinomial classifiers from quantum binary models Roncallo and A

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:44:32.823231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation e33052f7-9df7-4b7b-a23e-fda9f3803cec · inbound

Quantum Optical Reinforcement Learning via Spectrum-Resolved Hong-Ou-Mandel Interference cites this paper.

Quantum Optical Reinforcement Learning via Spectrum-Resolved Hong-Ou-Mandel Interference Divide et impera: hybrid multinomial classifiers from quantum binary models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:52:57.463891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.