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Paper Citation Record · LEDGER

RELISH: LLM REgression with a Latent Iterative State Head

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2604.01206.

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

pith.paper-citation-record.v1
2604.01206 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T14:30:31.143235Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5263c2f3-ead3-4f77-b0da-ac201fb9f7b6 · outbound

This paper cites (b) End-to-end signal programming framework.

RELISH: LLM REgression with a Latent Iterative State Head (b) End-to-end signal programming framework

Reference 1

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:b2711204051ca38456513dbf20eae1709d4fd8c00a08079b0db85bf087119152

Observation 189ae6c9-0f58-40fc-955f-b5a5c68c1412 · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 2

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:f0b0417d8cc235f7b655892ba406f5f8f3fcc3b5cbe3c8d7152c19da8678d4be

Observation d0c512b0-8caf-4bd4-b661-51ce286d69b9 · outbound

This paper cites (c) Minimum derivative lower boundLas a function of query depthd, evaluated at three target phasesθ∈ {0.32,0.80,1.25} and shrinkage factorsζ∈ {1,2,5}.

RELISH: LLM REgression with a Latent Iterative State Head (c) Minimum derivative lower boundLas a function of query depthd, evaluated at three target phasesθ∈ {0.32,0.80,1.25} and shrinkage factorsζ∈ {1,2,5}

Reference 3

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:43f073721d8a5773ee5282fde914ae36ac551b6f631389b175c666360de3d1d9

Observation dc0ae765-6677-498c-836f-354f9ab269b5 · outbound

This paper cites (c) Optimized signal functionsf(θ) of QSP-PE (top) and RPE (bottom), with their corresponding Fourier mode decompositions shown at the lower right.

RELISH: LLM REgression with a Latent Iterative State Head (c) Optimized signal functionsf(θ) of QSP-PE (top) and RPE (bottom), with their corresponding Fourier mode decompositions shown at the lower right

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:d13d96954caca92dbe555635e2eb7f3bc9a18f30c739cd3ded79c9f47c7f75b0

Observation 525f1a84-35b7-45a4-b180-2d3674f9d73d · outbound

This paper cites Observation of separated dynamics of charge and spin in the Fermi-Hubbard model.

RELISH: LLM REgression with a Latent Iterative State Head Observation of separated dynamics of charge and spin in the Fermi-Hubbard model

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:910d1a8426c138d1d10f8fcaf0bee47f970794882b1272dd624e594a11b9380a

Observation 0b477c31-f695-4e5a-9d84-4ec3754da7cf · outbound

This paper cites Simulated quantum computa- tion of molecular energies.Science, 309(5741):1704–1707, 2005.

RELISH: LLM REgression with a Latent Iterative State Head Simulated quantum computa- tion of molecular energies.Science, 309(5741):1704–1707, 2005

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:7491f1ad94f98d7c71ab2ba49d844c6ffbe04f5662e70843b16f1715aff311d2

Observation 71e7055a-a7ae-4912-8e0f-470746415883 · outbound

This paper cites Achiev- ing Heisenberg scaling with maximally entangled states: An analytic upper bound for the attainable root-mean- square error.Physical Review A, 102(4):042613, October.

RELISH: LLM REgression with a Latent Iterative State Head Achiev- ing Heisenberg scaling with maximally entangled states: An analytic upper bound for the attainable root-mean- square error.Physical Review A, 102(4):042613, October

Reference 7

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:f667285272f3ecc98a19164d5d02dc80378c1462acadd49a97e8d8179ae9a1ef

Observation 09ee0c58-6eda-4b21-adcf-add835b544eb · outbound

This paper cites URLhttps: //link.aps.org/doi/10.1103/PhysRevA.102.042613.

RELISH: LLM REgression with a Latent Iterative State Head URLhttps: //link.aps.org/doi/10.1103/PhysRevA.102.042613

Reference 8

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doi, observed 2026-07-13T14:39:39.463903Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:f87b841fdccbd1c38129ad69e5372097fd44048b73c67095471aa53daf5240f0

Observation ebe2f3d7-113b-4632-8bfd-baa12009d444 · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:d4f193839810558b4fbcd37fc92bef1e9f1c4819592648c08a68c99a022f4b28

Observation 572d3e7e-e124-4e0e-9685-fe264099bdb3 · outbound

This paper cites Cambridge university press, 2004.

RELISH: LLM REgression with a Latent Iterative State Head Cambridge university press, 2004

Reference 10

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:8bf62e3f56372849f2d9be30400914ea43b0df6ea6e220cc8f863a1eb9cdc4a4

Observation a33fe948-1e12-4443-bd8f-15399058c476 · outbound

This paper cites Childs, Yuan Su, Minh C.

RELISH: LLM REgression with a Latent Iterative State Head Childs, Yuan Su, Minh C

Reference 11

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:712e854c3be2c1b14e54c4823c90b07a103d681e757f2e6b72b69b7657db1e1b

Observation ec69066b-e431-4c96-bc06-c8d0eacb5533 · outbound

This paper cites Cortes and Stephen K.

RELISH: LLM REgression with a Latent Iterative State Head Cortes and Stephen K

Reference 12

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:70364332b9af57429a8c5910e20e4dabdcec28c1385587b64f690f8189c7b113

Observation f09e01b1-b42b-4298-981f-02a10e1497e5 · outbound

This paper cites Even Shorter Quantum Circuit for Phase Estimation on Early Fault-Tolerant Quantum Computers with Applications to Ground-State Energy Estimation.PRX Quantum, 4(2):020331, May 2023.

RELISH: LLM REgression with a Latent Iterative State Head Even Shorter Quantum Circuit for Phase Estimation on Early Fault-Tolerant Quantum Computers with Applications to Ground-State Energy Estimation.PRX Quantum, 4(2):020331, May 2023

Reference 13

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:f5ba294042ae519b7b6aa313f2368cee7caae69377a2a2155a9eb723bdadb31e

Observation 3ec208d7-40e9-4cfa-a6d7-f4d849038d23 · outbound

This paper cites Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution.

RELISH: LLM REgression with a Latent Iterative State Head Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution

Reference 14

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:b019af30e0c9780f2cb51a0ed9df61c5be5450feee20adcd993daa5d256d975d

Observation 692411e2-97f1-4858-b684-0db769f0bb04 · outbound

This paper cites Birgitta Whaley, and Lin Lin.

RELISH: LLM REgression with a Latent Iterative State Head Birgitta Whaley, and Lin Lin

Reference 15

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:fd7afa0b5dc6260306e9a3dd7a0f3d6486aaf19a578889abf2810ef466b6e679

Observation f768e4eb-1adc-4827-9333-8509950b3b35 · outbound

This paper cites URLhttps: //link.aps.org/doi/10.1103/PhysRevA.103.042419.

RELISH: LLM REgression with a Latent Iterative State Head URLhttps: //link.aps.org/doi/10.1103/PhysRevA.103.042419

Reference 16

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:60cd18f8fee650708c216458385444ee04ed1743041133f5d7ca65d2ff3f0c9b

Observation 8e75fb0e-deeb-4a7f-8d76-ac6d34b5a3f1 · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 17

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:172030c3c8a117cf76108151b794388574fdca5759eb54d1ee2f689bf3af9be2

Observation 6a19fe36-b757-4fc3-83cb-b5240715271b · outbound

This paper cites Gross, and Murphy Yuezhen Niu.

RELISH: LLM REgression with a Latent Iterative State Head Gross, and Murphy Yuezhen Niu

Reference 18

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:d4fba1e88c3a82a09283660d74fbff687364610dfce1a122a755f8fb88f463c8

Observation ea26b5ce-c458-47b9-bd23-75a11c7af162 · outbound

This paper cites Mueller, and Juan Miguel Arrazola.

RELISH: LLM REgression with a Latent Iterative State Head Mueller, and Juan Miguel Arrazola

Reference 19

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:00faabbee0e390d9f8e423825f4e9acc2320a7bff319ff82ec197bab448b1894

Observation 11360a54-1549-4441-abe1-a8b35bbabfe5 · outbound

This paper cites Quantum singular value transformation and be- yond: exponential improvements for quantum matrix arithmetics.

RELISH: LLM REgression with a Latent Iterative State Head Quantum singular value transformation and be- yond: exponential improvements for quantum matrix arithmetics

Reference 20

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:8b3bce5cd84120389bdffb98022b3dd5b20c53783bfe10d064e6ff83a72d4e0d

Observation fafcbe09-9f1c-4af0-ba0a-2a49eef6f2f0 · outbound

This paper cites Quantum Metrology.Physical Re- view Letters, 96(1):010401, January 2006.

RELISH: LLM REgression with a Latent Iterative State Head Quantum Metrology.Physical Re- view Letters, 96(1):010401, January 2006

Reference 21

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:346fa2e57678cd3030f7118e024ceb05c8316f5eaf9b65df8662154049f9a634

Observation 74fd4b3d-c499-4272-ae6f-92ceda051816 · outbound

This paper cites Advances in quantum metrology.Nature Pho- tonics, 5(4):222–229, April 2011.

RELISH: LLM REgression with a Latent Iterative State Head Advances in quantum metrology.Nature Pho- tonics, 5(4):222–229, April 2011

Reference 22

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:6f79f8f26049b30e37fc05b5254d7507209d4130b75a71f2c38d551a119969f9

Observation 8c0b784e-681e-4788-8b7e-4350037c1901 · outbound

This paper cites Gurobi Optimizer Reference Manual, 2026.

RELISH: LLM REgression with a Latent Iterative State Head Gurobi Optimizer Reference Manual, 2026

Reference 23

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:997e8a569116192f1814b462fa0f6f9174318ca76b977d1def1f69065b122ffd

Observation 236345d3-ef68-43fa-a6b4-5f2ace7718b5 · outbound

This paper cites Wiseman, and Dominic W.

RELISH: LLM REgression with a Latent Iterative State Head Wiseman, and Dominic W

Reference 24

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:81c5e890d64ff3286a0c6f5dd2d03a0f975a8482da8fa9929de3ee2c35909977

Observation d7e2c145-a283-4d25-be76-1e3177d21313 · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 25

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doi_truncated, observed 2026-07-13T14:39:39.430209Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:08e3ceb53515357663a6a1d90d53d74512f8f875e6f4c34c99f3b6cf779da40e

Observation 02a95c86-5539-425f-a411-cf53275727ae · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 26

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:aa313b1e20c21c68150068c30f872c100abce470660967956f2b4ef78b7df5fb

Observation 3ed8b09b-cead-414c-aa74-b71ce8f8373e · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 27

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:0d184ce49da36cec8f01862aa6f5cb517dc6302be1bbf858b02c580c542d2554

Observation b7e59258-5e85-42a5-bca2-47e44f010d8c · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 28

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:8ccf3e378f5a3e41d0334ca6b0f0f7acff94c15fb2cbe800e7b39bab013005de

Observation eafb31ff-7a2d-4e34-b33b-136122ce728d · outbound

This paper cites URLhttps: //link.aps.org/doi/10.1103/PhysRevA.75.012328.

RELISH: LLM REgression with a Latent Iterative State Head URLhttps: //link.aps.org/doi/10.1103/PhysRevA.75.012328

Reference 29

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:af6bc540efad08c2dd82571de1f71733cbe992c6b9a1a106aafa2b532b1480d9

Observation 1572cbcd-d7ba-4989-9ab2-d5b2c20f084c · outbound

This paper cites Bernstein–szeg˝ o inequality for trigonometric polynomials inL p, 0≤p≤ ∞, with the 7 classical value of the best constant.Journal of Approxi- mation Theory, 276:105713, 2022.

RELISH: LLM REgression with a Latent Iterative State Head Bernstein–szeg˝ o inequality for trigonometric polynomials inL p, 0≤p≤ ∞, with the 7 classical value of the best constant.Journal of Approxi- mation Theory, 276:105713, 2022

Reference 30

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:bff6ba86e87e64b352e71981196455afbd1551a33a90cfdce8259aaecba65b4a

Observation 0ef24303-4a1e-4715-9c06-43cd1af52bc5 · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 31

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:2e0f07a430ad2039c24e125bb53bc46cb09c622bc1f0c922823ff911404ae508

Observation 7bb882c0-a29d-4bee-982f-bdb42a579c08 · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 32

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:15ca878eb5d0e9e51d00a196024f842a54b4ad8149c14b64a7fbacac0b55ff75

Observation 64e1ed78-689d-4cd2-ac49-4b4385cdf8ad · outbound

This paper cites URLhttps:// quantum-journal.org/papers/q-2019-07-12-163/.

RELISH: LLM REgression with a Latent Iterative State Head URLhttps:// quantum-journal.org/papers/q-2019-07-12-163/

Reference 33

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:0065511947511e22b67bc131953736508c51f65462ddd4de643769a19c69f686

Observation c50bb5d3-464a-4d61-871d-3f2f61af9919 · outbound

This paper cites Yoder, and Isaac L.

RELISH: LLM REgression with a Latent Iterative State Head Yoder, and Isaac L

Reference 34

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:403cbd058aff4e174eccb2eec79148b56da7f6df8773dea57b4e044cc8505f77

Observation 8cfbc194-b1d1-466e-b27b-34ef553af4ab · outbound

This paper cites Rab, Giorgio Milani, Nicol` o Spagnolo, Nathan Wiebe, and Fabio Sciarrino.

RELISH: LLM REgression with a Latent Iterative State Head Rab, Giorgio Milani, Nicol` o Spagnolo, Nathan Wiebe, and Fabio Sciarrino

Reference 35

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:a581399713f205faed0028275e72ebdca5440ed6cdbb435bf18cd2280ec9d34d

Observation 4c9b2fbf-b1ff-4ce6-ba5b-41c5da6b5924 · outbound

This paper cites Encoded Quantum Signal Processing for Heisenberg- Limited Metrology, March 2026.

RELISH: LLM REgression with a Latent Iterative State Head Encoded Quantum Signal Processing for Heisenberg- Limited Metrology, March 2026

Reference 36

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:e09253e3349a11503e5065ce61d707f5c00c0c7546150c754aaf038071820003

Observation ed4eb8b0-3665-4f88-b818-2495ffc3e9ef · outbound

This paper cites Martyn, Zane M.

RELISH: LLM REgression with a Latent Iterative State Head Martyn, Zane M

Reference 37

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:d40e0f42e55a600cc7bb9ae0847b518a92a1ad7c1bd6adf56346b2a072c3b985

Observation e41a90f2-5e0d-423f-9625-aea19410958e · outbound

This paper cites URLhttps: //link.aps.org/doi/10.1103/PRXQuantum.2.040203.

RELISH: LLM REgression with a Latent Iterative State Head URLhttps: //link.aps.org/doi/10.1103/PRXQuantum.2.040203

Reference 38

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:ce9a1c2c3f149213fdeeabd3a39087be7a549532968d216eec2607e0b74ef12a

Observation bf38e2f4-9031-4272-a1c7-563f2a3b3a90 · outbound

This paper cites Generalized Quantum Signal Processing.PRX Quantum, 5 (2):020368, June 2024.

RELISH: LLM REgression with a Latent Iterative State Head Generalized Quantum Signal Processing.PRX Quantum, 5 (2):020368, June 2024

Reference 39

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:ccd2bc44e25a0f0db028d38c0f27fe942b72b216d343f122493d5d42bbe5cb50

Observation 4608006e-232e-47db-bbf9-6f39f31128fb · outbound

This paper cites Neill, T.

RELISH: LLM REgression with a Latent Iterative State Head Neill, T

Reference 40

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:e1dbfe5945e18304378faeac1828573e19ee058dc1672eadee1162764d9f43fc

Observation 0a65a006-8cbf-4d56-bf7f-1d2b388b7c20 · outbound

This paper cites On low- depth algorithms for quantum phase estimation.Quan- tum, 7:1165, November 2023.

RELISH: LLM REgression with a Latent Iterative State Head On low- depth algorithms for quantum phase estimation.Quan- tum, 7:1165, November 2023

Reference 41

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doi_truncated, observed 2026-07-13T14:39:39.495851Z

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:fddc9bee257eddbe08ac6cbf843fc07d676cbf8c48d2c74d3ac3d97d9e455f3e

Observation b01f8a98-39c6-49fd-ab3a-e82b3ac3bf7f · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 42

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:effb34604769c56f741bfa1bf07ea9cf8251e06126454db2cbe67c35670ad4a0

Observation 72a2b45d-3b9b-49cd-8622-2991fe1dcfcf · outbound

This paper cites O’Brien, Stefano Polla, Nicholas C.

RELISH: LLM REgression with a Latent Iterative State Head O’Brien, Stefano Polla, Nicholas C

Reference 43

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:a0e0b492f58003483eb231853d8fdad2432b57fbd777d0c0b9716e036d026bcf

Observation dbcf346b-ddbf-4a68-b431-82a8adb62421 · outbound

This paper cites QSPPACK: Quantum Signal Process- ing Package.

RELISH: LLM REgression with a Latent Iterative State Head QSPPACK: Quantum Signal Process- ing Package

Reference 44

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:4bcf087f0af013cc72c51239ad10be7b51bd220d095c7ab146d9b6ecd5e0bb0d

Observation e8142f81-954d-4933-b437-57b75a7c4e90 · outbound

This paper cites Yelin, and Roel Van Beeumen.

RELISH: LLM REgression with a Latent Iterative State Head Yelin, and Roel Van Beeumen

Reference 45

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doi, observed 2026-07-13T14:39:39.476945Z

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:b922db3b6cc141de4bba14e3471611ed71f24c7c9e6b5114d86f2688d491f9bb

Observation d17a30ac-a786-4f79-8796-ac42d0fc9fdc · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 46

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:ca238e4ddfa1a18558cb9a8c0c8deea2175b5b91fad488a6f6211e9778a73c85

Observation 78785e7b-31c4-4b0f-9464-a055b49aaf60 · outbound

This paper cites doi:10.1038/ncomms6156.

RELISH: LLM REgression with a Latent Iterative State Head doi:10.1038/ncomms6156

Reference 47

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doi, observed 2026-07-13T14:39:39.465695Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:4658d024ee3cb9680014c74885622dd3c6e6ae179396a934287225aa9804dc6c

Observation fc5e50c5-4ab2-4c90-9ab8-a3c752f926f8 · outbound

This paper cites Stair, Cristian L.

RELISH: LLM REgression with a Latent Iterative State Head Stair, Cristian L

Reference 48

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:ded9758b5fd5cbc71754efcdee2cbcb81d1358d325786867ca927d3682f131d2

Observation e9655767-add5-4999-a134-898477055970 · outbound

This paper cites On the en- ergy landscape of symmetric quantum signal process- ing.Quantum, 6:850, November 2022.

RELISH: LLM REgression with a Latent Iterative State Head On the en- ergy landscape of symmetric quantum signal process- ing.Quantum, 6:850, November 2022

Reference 49

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:6a75a6cef42a8ed4cd6c96756816b1c279b2fe2a6c818c72a76985962debb266

Observation 21c4e0b9-af1c-4ec7-ba84-cd9c3d274a92 · outbound

This paper cites Efficient Bayesian Phase Estimation.Physical Re- view Letters, 117(1):010503, June 2016.

RELISH: LLM REgression with a Latent Iterative State Head Efficient Bayesian Phase Estimation.Physical Re- view Letters, 117(1):010503, June 2016

Reference 50

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:db49457cdeeaab88f575accd8f4fdae4f3a2c638e952f51278cb277973dba3db

Observation d1a6d726-b1b4-4c8b-9be2-91d7f153d2c2 · outbound

This paper cites Demonstrating Bayesian quan- tum phase estimation with quantum error detection.

RELISH: LLM REgression with a Latent Iterative State Head Demonstrating Bayesian quan- tum phase estimation with quantum error detection

Reference 51

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:3202cb59c3860be5a0c85c89004f32abbc597b4de24b1347e59dddf03aa4bd68

Observation 73fc784c-a779-4dce-8766-b08ce0b48756 · outbound

This paper cites Quantum Error-Corrected Computation of Molecular Energies.

RELISH: LLM REgression with a Latent Iterative State Head Quantum Error-Corrected Computation of Molecular Energies

Reference 52

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:2870a71970d201421728bd75d3a924561cb5958843f085c400c4506ca999682d

Observation b8926878-7738-46d5-9380-321c8ac51e1f · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 53

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:7bd4209039bcf7793ae81777b77315ae2569e98c105c2453be5e43d13a53baab

Observation 3640e3fa-c813-4de8-a397-c35ad074435d · outbound

This paper cites 1, are based on the Hadamard test.

RELISH: LLM REgression with a Latent Iterative State Head 1, are based on the Hadamard test

Reference 54

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:7e587191a9621371260489cb549b29fdaa0391ea6f2eca151393768107aa11fe

Observation e81e6e7f-1024-4993-bb4d-733e16002623 · outbound

This paper cites As a result, a constant gap from the optimal value is preserved due to the use of a fixed complementary signal pair.

RELISH: LLM REgression with a Latent Iterative State Head As a result, a constant gap from the optimal value is preserved due to the use of a fixed complementary signal pair

Reference 55

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:6dd2aa975307f991a2bd25b80d25f4517a35ca601f14aae229b38699761e30c1

Observation 0bc98cb5-3684-45ef-90a9-0aa1bf044afc · outbound

This paper cites The algorithm interleaves oracles to the Hamiltonian with a sequence of phase-modulation gates whose angles encode the desired transformation.

RELISH: LLM REgression with a Latent Iterative State Head The algorithm interleaves oracles to the Hamiltonian with a sequence of phase-modulation gates whose angles encode the desired transformation

Reference 56

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:ae3238b55ebb45d5bbbfe2ce4f0793d1556e685fa5bf8755591940e38f124e39

Observation 7ac755d4-74fe-418a-a2c9-e1034d6c1212 · outbound

This paper cites an unresolved cited work.

RELISH: LLM REgression with a Latent Iterative State Head Unresolved cited work

Reference 57

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:d36b044a9aa1a8ae3cca83aa873c36a4965035e3cfd32e83197d52344c231ca4

Observation 0c57deb6-d5fc-46f9-806c-b1d8ab26320d · outbound

This paper cites (S15) is formulated as a max-min optimization over the admissible signal class Fd.

RELISH: LLM REgression with a Latent Iterative State Head (S15) is formulated as a max-min optimization over the admissible signal class Fd

Reference 58

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:1f382a5f85c16016627741b74f46d65dd23bc37e32e83fae15b63d26f3161c8a

Observation 5db94ce4-b100-494a-ad67-f7e13376db56 · outbound

This paper cites One can then enforce a uniformly lower bounded sensitivity by imposing inequality constraints on a dense set of sampled points inI.

RELISH: LLM REgression with a Latent Iterative State Head One can then enforce a uniformly lower bounded sensitivity by imposing inequality constraints on a dense set of sampled points inI

Reference 59

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:eca3968772a9130cdb5adf47f03278d50acd29791744b12c73eddae8f36cb9e8

Observation bd1e5d5b-eff1-4b63-b36b-9c5e7a834f33 · outbound

This paper cites We demonstrate that the optimal signal is attained over a bounded confidence interval, as shown in Fig.

RELISH: LLM REgression with a Latent Iterative State Head We demonstrate that the optimal signal is attained over a bounded confidence interval, as shown in Fig

Reference 60

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:87ec9dc8231f82bdd7f77b01f6483122abd1dfc76e182fea64a19ae43598acfc

Observation 9d1ba521-6c48-4e00-9d54-8b47ce0b79d9 · outbound

This paper cites The procedure iteratively refines a confidence interval forθestimation using optimized signals with bounded derivatives and resource-aware confidence updates.

RELISH: LLM REgression with a Latent Iterative State Head The procedure iteratively refines a confidence interval forθestimation using optimized signals with bounded derivatives and resource-aware confidence updates

Reference 61

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:0ca39d0ae1a7952fcecd3f27c5b28cfc99564b2d7799443af64f53f85e967037

Observation 635b24da-5208-440d-be33-da51897d8b2a · outbound

This paper cites Therefore, estimating the unknown parameter by inverting the measurement outcome is 11 straightforward: we can recoverθby locating the intersection point on the signal curve.

RELISH: LLM REgression with a Latent Iterative State Head Therefore, estimating the unknown parameter by inverting the measurement outcome is 11 straightforward: we can recoverθby locating the intersection point on the signal curve

Reference 62

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no resolver link, observed 2026-07-13T14:30:31.143235Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:61635e3eb9978406421c008c5baa54d0d8266e19e3a5f95b19946e942e09ece6

Observation 2e52368b-d63e-4664-af02-40980182f5d0 · outbound

This paper cites As a result, the total quantum resource cost is dominated by the final step, which suggests the optimal Heisenberg-limited scaling.

RELISH: LLM REgression with a Latent Iterative State Head As a result, the total quantum resource cost is dominated by the final step, which suggests the optimal Heisenberg-limited scaling

Reference 63

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:695bcd887b0705706852cc441272c9841e195a665f92a468240fef1e8026740c

Observation ff9c16ad-c8f0-41ce-989e-f2042713eea1 · outbound

This paper cites As shown in Theorem 10, each post-processing step requires a total number of basic floating-point operations that scales linearly with the depth parameter.

RELISH: LLM REgression with a Latent Iterative State Head As shown in Theorem 10, each post-processing step requires a total number of basic floating-point operations that scales linearly with the depth parameter

Reference 64

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source=pdf_text observed=2026-07-13T14:30:31.143235Z digest=sha256:379ec2a13907671410848029f23db8c081db0be75dad7c86b651c2bbb09b9e3b

Pith citing papers

No inbound Pith citation observations are available.