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Paper Citation Record · LEDGER

Knapsack Problem variants of QAOA for battery revenue optimisation

As of 23 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.319888Z digest=sha256:5c44bfc715c187f880ccd4a2df2c0e08431a0283ad88c97bab77cb8e83d60ed7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.328451Z digest=sha256:7558a5b05c156e92283649ae48f883c279d5aa95c16067830ecc5131225032d8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.337164Z digest=sha256:10825c30caa20283e6367a74e2bca314324370361db7ff05e919d1935e048ce0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.340952Z digest=sha256:6d70aae5a442cd8d031e74ab6c4d2b544af99f66a67aa256a239405c406b3696

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.353235Z digest=sha256:6b6ab1fe1baa7a10ab2f279f630c234b5b29b8a8d53b956619749f266dc1e2f2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.356899Z digest=sha256:1e032343460895a0c69fae9c236794d1d93fe3075d63cd1f2c689f8dc6583e6d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.360788Z digest=sha256:9d45f495b1a6071816d1ed8c2b4a623403d8250e08d3b6bb74962c332ac4bff0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.364400Z digest=sha256:05468ff387723a69d37d06dd01353d15720568872410f9a1450a790a1367cbcf

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.371949Z digest=sha256:c2cc0d3a523ffd280bdb35f627dfe9443a0d57d434b4133dfd2d78c304919a4c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.375523Z digest=sha256:eb660201f35812fe50cac2e9b1554dd4be0989859e148df37d0424a2427e3c64

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T14:54:46.344775Z digest=sha256:28c6d1cb0eef52eaf2de6787304a1a44fb0b7822c43b5e3b378bbf94ca6df719

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T20:07:44.933258Z digest=sha256:cf892c4c0a91ea65c6888e14b7ec0bc759d417a4e2f8227c4420cc8854023641