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Paper Citation Record · LEDGER

Knapsack Problem variants of QAOA for battery revenue optimisation

As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:1908.02210.

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

pith.paper-citation-record.v1
1908.02210 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:54:46.379231Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:07:44.933258Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T20:07:45.106537Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3933ded1-4e0f-421c-b786-b25f974a5c61 · outbound

This paper cites Qiskit: An Open-source Framework for Quantum Computing (v 0.11.1).

Knapsack Problem variants of QAOA for battery revenue optimisation Qiskit: An Open-source Framework for Quantum Computing (v 0.11.1)

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:46.309407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:46.309407Z digest=sha256:ce707322d3effc052e8adfb6b0ae88669cb4dba2b84f95ad02b41aa9d2bcfcca

Observation 45bf775d-eb5d-4d68-a08e-9450f9166478 · outbound

This paper cites An Elementary Proof of the Quantum Adiabatic Theorem.

Knapsack Problem variants of QAOA for battery revenue optimisation An Elementary Proof of the Quantum Adiabatic Theorem

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:46.315361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:46.315361Z digest=sha256:df39b22ef09b1e3bcf8414dc2286aace923c26dc832fbc204be432228a75fe32

Observation 81b21e76-c569-4247-9713-6cbda9c55303 · outbound

This paper cites Adiabatic quantum computing solution of the knapsack problem.

Knapsack Problem variants of QAOA for battery revenue optimisation Adiabatic quantum computing solution of the knapsack problem

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:54:46.483935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.319888Z digest=sha256:a36a6794c7003a1a4c4fefc2856e49206713c95050c31dda2136ffb9e32c66b1

Observation 41d21808-8863-4e96-b343-cb9ca58d6332 · outbound

This paper cites Quantum Algorithm Implementations for Beginners.

Knapsack Problem variants of QAOA for battery revenue optimisation Quantum Algorithm Implementations for Beginners

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:46.324457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:46.324457Z digest=sha256:96f282f38d134906953b86dafbb76e68ea2a40530e2319dce7e766642131b20e

Observation b26f2c00-9c71-4814-8701-dfb8a5c62326 · outbound

This paper cites Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem.

Knapsack Problem variants of QAOA for battery revenue optimisation Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.637709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.328451Z digest=sha256:a9a834105a1f52c6ae5102f6314159b258f52199af4e850d936eb7436332d3e8

Observation 1ca6d310-cff6-4802-86af-f336b24d00ca · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Knapsack Problem variants of QAOA for battery revenue optimisation A Quantum Approximate Optimization Algorithm

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:46.332673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:46.332673Z digest=sha256:e3f564c639f74bbb2714f4e1ac582268e704841ad57b73e25860d26d1d8266ef

Observation 8b601830-8b39-40c7-8255-351777c79823 · outbound

This paper cites A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem.

Knapsack Problem variants of QAOA for battery revenue optimisation A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.624318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.337164Z digest=sha256:9c3fb9b9e9ac8260543637eec0962b6dec67ae83272342664bc30b063402eb04

Observation 6f73c5cc-72f1-4aef-a29f-c2d07c1fa74b · outbound

This paper cites Lecture on Approximations Algorithms.

Knapsack Problem variants of QAOA for battery revenue optimisation Lecture on Approximations Algorithms

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.607648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.340952Z digest=sha256:bbb002ccdab04d5985c271046c5d406105a21d9afe6f7b3a0c3e19f41ad5c7c1

Observation ae9d9297-06d5-42e2-8129-03e35abce39a · outbound

This paper cites Factoring using 2n+2 qubits with Toffoli based modular multiplication.

Knapsack Problem variants of QAOA for battery revenue optimisation Factoring using 2n+2 qubits with Toffoli based modular multiplication

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:46.348393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:46.348393Z digest=sha256:3844ea10f0d560534681468b07abf91350fbd756ba57818b22371135c19155c9

Observation be664dc7-3046-4c41-b6b0-f88cb3bb87ac · outbound

This paper cites Optimizing electric vehicle charging with energy storage in the electricity market.

Knapsack Problem variants of QAOA for battery revenue optimisation Optimizing electric vehicle charging with energy storage in the electricity market

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.576319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.353235Z digest=sha256:f1f72353e274d7d476b510c359fe78ff0528a0f34e1b3a710749e747fd4d9b9e

Observation 796340c7-5a29-40f0-acc4-855a17d6176f · outbound

This paper cites Reducibility among combinatorial problems.

Knapsack Problem variants of QAOA for battery revenue optimisation Reducibility among combinatorial problems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.560679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.356899Z digest=sha256:0211d692e2465a63bb780e25614de46615a9fefc9e44175f22d58e1d9baa7b93

Observation fb98cadc-a399-43c8-a98b-07c2cf75cd56 · outbound

This paper cites Bidding strategy for microgrid in day-ahead market based on hybrid stochastic/robust optimization.

Knapsack Problem variants of QAOA for battery revenue optimisation Bidding strategy for microgrid in day-ahead market based on hybrid stochastic/robust optimization

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.546555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.360788Z digest=sha256:1d2a73d8c50d92e20e0472b5956dee466e64e0e8343722273fa315d28f59f9e5

Observation 6ac3d6b7-a04e-4ced-9c46-36aaea2a0c28 · outbound

This paper cites Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies.

Knapsack Problem variants of QAOA for battery revenue optimisation Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.533071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.364400Z digest=sha256:f053e0058f83dd9f811503caec82c6ddb1c9e4a19d2aa9478e08191848d4c844

Observation 81e7cc1f-897b-40c2-9448-6ee849ae1e19 · outbound

This paper cites Quantum networks for elementary arithmetic operations.

Knapsack Problem variants of QAOA for battery revenue optimisation Quantum networks for elementary arithmetic operations

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:46.368320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:46.368320Z digest=sha256:e2304578cb24862e1c673470a07d6c67e7f2e3ce54dec9419498dfd0961a530c

Observation e7ef915b-db2b-406a-9d1e-58a559654f26 · outbound

This paper cites Quantum Optimization for Maximum Independent Set Using Rydberg Atom Arrays.

Knapsack Problem variants of QAOA for battery revenue optimisation Quantum Optimization for Maximum Independent Set Using Rydberg Atom Arrays

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.521011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.371949Z digest=sha256:316c382297ec91cda27bb57c49834c48a5cb88e340df5835a255d84e7f9426c5

Observation d0f3681f-8d8d-445c-acd2-b11d60347801 · outbound

This paper cites An Introduction to Quantum Optimization Approx- imation Algorithm.

Knapsack Problem variants of QAOA for battery revenue optimisation An Introduction to Quantum Optimization Approx- imation Algorithm

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:54:46.507702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.375523Z digest=sha256:4952b8ac5b5f18a3f94c74b1839d5cd1a739f49289041a3f4f966c27337d77c9

Observation d285edff-9582-4452-a763-f0e432228c4e · outbound

This paper cites Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices.

Knapsack Problem variants of QAOA for battery revenue optimisation Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:46.379231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:46.379231Z digest=sha256:150d35a83cedae4d7109ac5e24e72d02f2858107ff9b60e3d984269ac8f88a8e

Observation 05d93f84-0cb4-40ec-893a-a29ab7e766d6 · outbound

This paper cites an unresolved cited work.

Knapsack Problem variants of QAOA for battery revenue optimisation Unresolved cited work

Reference 2005

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:54:46.591113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:54:46.344775Z digest=sha256:03bc69edafca6afa0ca7b67f49a59ae87ce55b45487c13d0ea46b948bffb97f5

Pith citing papers

Observation f0f84e79-bbd0-43c5-98dc-02a623ba2962 · inbound

Quadratic versus Polynomial Unconstrained Binary Models for Quantum Optimization illustrated on Railway Timetabling cites this paper.

Quadratic versus Polynomial Unconstrained Binary Models for Quantum Optimization illustrated on Railway Timetabling Knapsack Problem variants of QAOA for battery revenue optimisation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:07:45.114553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T20:07:44.933258Z digest=sha256:df1b1a1495beb32e26e489c1e9af248afff0a1cf5d6b4272274a112964b8d6c5