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Paper Citation Record · LEDGER

Knapsack Problem variants of QAOA for battery revenue optimisation

As of 22 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 2026-08-22T06:32:14.747728+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=sha256:940351bcc1b7f2b53e4584c16745ba45c94388a0dbd749aa9b314ff0f625ec07

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:a0e429b8122d25a450e62ee5eaa8540ce86989aa28f92f42175ec1ce69cfc1ec

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.319888Z digest=sha256:a407b76233572832be1471d60fa005e49806ffb7ef958708c6d5eb9293f3ecde

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=sha256:97b6d44b3823f70d0abe9afcaa695f4bb6dc9cb59e1db80bc404074d92796357

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.328451Z digest=sha256:2fc797607d249ae4758b190ff35f64c3f1921c2d1b17f8aa168937df2d8f4845

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=sha256:7314acb18a82cefa64debde35f67e5bb3c5ab83f4b37dfc747bd1ee0181d354f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.337164Z digest=sha256:cff11ed5a4bb8e23e92c7782a1f5992f65c84877e8440f3411971844c5083383

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.340952Z digest=sha256:75dfcf161a518ac8305af2c8433b76ffd252095d9e645c9fd0c480aaddd14e69

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=sha256:896248f03b8eb3650d5e9798fc2b2c2cc0742d7a827bb12b3e0a119979542846

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.353235Z digest=sha256:f6e06c75e387d648a9ddf3feea9dbbf0454a559a4b6552be6b7cd6a8568a1447

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.356899Z digest=sha256:4bb0bd3667208d24cf1b83f3f122c40fe9020ffcf7bea9b07d99231ae33fdb1e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.360788Z digest=sha256:ecf3d9827a5183dc0385cbdf08f776f6d238ad31e849565845166e2a7c8eb4d0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.364400Z digest=sha256:7a5b2a106045d45842b6e92bccb6e38f80c8ee7ca7c7e31a389a6777f2cd1011

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=sha256:2a11aad4e1023363c55fac5205211e6d2ae6ba16cc791cce61dcf12d174ffd42

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.371949Z digest=sha256:8eed42e2c0557e137084ba79bc84c18afc476dbd0482a7a587f48bbe48eb8fbd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.375523Z digest=sha256:ee5d61a972d2096425fd0be7b9f52159f0568246f81841520137f9867aba41ce

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=sha256:703acdc757f15718222f2776445ffcfaa7127316e53b28fc890c2818f5d38af3

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:54:46.344775Z digest=sha256:d511b6240d63fb28f4c50dcf815a9bce38739e80167c42ed7476eb357c7b39f6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:07:44.933258Z digest=sha256:089572124009a6ab0feb097cdfadd8499a212d1096587edc434bc35ca65d2c26