Paper Citation Record · LEDGER

An In-depth Study of LLM Contributions to the Bin Packing Problem

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2510.27353.

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

pith.paper-citation-record.v1
2510.27353 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:02:52.919799Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

45 of 45 outbound references displayed

verified exact0
verified fuzzy0
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2cca1c60-9de2-4a3a-924b-db66b99245a9 · outbound

This paper cites Springer, 2018.

An In-depth Study of LLM Contributions to the Bin Packing Problem Springer, 2018

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:49.273746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c27b7fc-b5b3-4c53-aaec-6ad58e302bb3 · outbound

This paper cites Hyper-heuristics: A sur- vey of the state of the art.Journal of the Opera- tional Research Society, 64(12):1695–1724, 2013.

An In-depth Study of LLM Contributions to the Bin Packing Problem Hyper-heuristics: A sur- vey of the state of the art.Journal of the Opera- tional Research Society, 64(12):1695–1724, 2013

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:49.340316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4405758a-f8f9-48a6-97a6-043708be9452 · outbound

This paper cites Au- tomated design of metaheuristic algorithms.

An In-depth Study of LLM Contributions to the Bin Packing Problem Au- tomated design of metaheuristic algorithms

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:49.463317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c6f9c0-1f25-4e68-bad8-2ce2c9497b97 · outbound

This paper cites Springer Science & Business Media, 2013.

An In-depth Study of LLM Contributions to the Bin Packing Problem Springer Science & Business Media, 2013

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:49.587115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2b5105-5676-4634-8aa2-53c21c7e660f · outbound

This paper cites Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling.IEEE Transac- tions on Evolutionary Computation, 28(1):147– 167, 2023.

An In-depth Study of LLM Contributions to the Bin Packing Problem Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling.IEEE Transac- tions on Evolutionary Computation, 28(1):147– 167, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:49.752781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87bc83ab-7cc1-4a9c-b6a2-34d535aae4cd · outbound

This paper cites Mathematical discoveries from program search with large language mod- els.Nature, 625(7995):468–475, 2024.

An In-depth Study of LLM Contributions to the Bin Packing Problem Mathematical discoveries from program search with large language mod- els.Nature, 625(7995):468–475, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:49.925102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba11b80e-a5f8-494e-a0a4-f38543c112d9 · outbound

This paper cites Machine learning for combina- torial optimization: a methodological tour d’horizon.European Journal of Operational Re- search, 290(2):405–421, 2021.

An In-depth Study of LLM Contributions to the Bin Packing Problem Machine learning for combina- torial optimization: a methodological tour d’horizon.European Journal of Operational Re- search, 290(2):405–421, 2021

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.046433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eff26f5-39dd-4949-b75f-5ffdedc256d7 · outbound

This paper cites Evolutionary compu- tation in the era of large language model: Survey and roadmap.IEEE Transactions on Evolution- ary Computation, 2024.

An In-depth Study of LLM Contributions to the Bin Packing Problem Evolutionary compu- tation in the era of large language model: Survey and roadmap.IEEE Transactions on Evolution- ary Computation, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.155500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2711e4c7-4882-4dc8-b686-130dadcb2957 · outbound

This paper cites New applications of the poly- nomial method: the cap set conjecture and be- yond.Bulletin of the American Mathematical Society, 56(1):29–64, 2019.

An In-depth Study of LLM Contributions to the Bin Packing Problem New applications of the poly- nomial method: the cap set conjecture and be- yond.Bulletin of the American Mathematical Society, 56(1):29–64, 2019

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.247469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85cd66f4-e38d-4cdc-a5b6-55ba01c2ece2 · outbound

This paper cites Cambridge University Press, 2006.

An In-depth Study of LLM Contributions to the Bin Packing Problem Cambridge University Press, 2006

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.331584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56fc9ae-6911-4a25-9637-f097b89b1b1a · outbound

This paper cites Approximation algorithms for bin-packing—an updated survey.

An In-depth Study of LLM Contributions to the Bin Packing Problem Approximation algorithms for bin-packing—an updated survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.423696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a95c76b1-69bc-464b-a4ed-2b94a6e218df · outbound

This paper cites Hyper-heuristics: An emerging direction in mod- ern search technology.

An In-depth Study of LLM Contributions to the Bin Packing Problem Hyper-heuristics: An emerging direction in mod- ern search technology

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.496667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a01c63c7-6546-4e8d-8973-217cd5f61b0c · outbound

This paper cites Hyper-heuristics: learning to combine simple heuristics in bin- packing problems.

An In-depth Study of LLM Contributions to the Bin Packing Problem Hyper-heuristics: learning to combine simple heuristics in bin- packing problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.612754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cce6e1e-2ae9-49ec-bb25-bf9d8114d773 · outbound

This paper cites A lifelong learning hyper-heuristic method for bin packing.Evolutionary computation, 23(1):37–67, 2015.

An In-depth Study of LLM Contributions to the Bin Packing Problem A lifelong learning hyper-heuristic method for bin packing.Evolutionary computation, 23(1):37–67, 2015

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.696034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c9a39c-206b-4512-95ac-ebef1d071883 · outbound

This paper cites Handbook of evolutionary compu- tation.Release, 97(1):B1, 1997.

An In-depth Study of LLM Contributions to the Bin Packing Problem Handbook of evolutionary compu- tation.Release, 97(1):B1, 1997

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.784990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e5759df-76a8-42e3-8a33-89f91eed3a9f · outbound

This paper cites From evolu- tionary computation to the evolution of things.

An In-depth Study of LLM Contributions to the Bin Packing Problem From evolu- tionary computation to the evolution of things

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.842383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6059eee-41d0-4d5a-8b5f-3a5356dcd047 · outbound

This paper cites Explainable artificial in- telligence by genetic programming: A survey.

An In-depth Study of LLM Contributions to the Bin Packing Problem Explainable artificial in- telligence by genetic programming: A survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.929009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdbaf762-101e-4788-858e-ee8c89cb997f · outbound

This paper cites Learn- ing heuristics with different representations for stochastic routing.IEEE Transactions on Cy- bernetics, 53(5):3205–3219, 2022.

An In-depth Study of LLM Contributions to the Bin Packing Problem Learn- ing heuristics with different representations for stochastic routing.IEEE Transactions on Cy- bernetics, 53(5):3205–3219, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:50.993112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa47e481-8846-4485-874a-0c506cc36e5a · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

An In-depth Study of LLM Contributions to the Bin Packing Problem A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.053045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524cd439-fa95-4417-ae98-5d0c872170f9 · outbound

This paper cites Evolving code with a large language model.Genetic Programming and Evolvable Ma- chines, 25(2):21, 2024.

An In-depth Study of LLM Contributions to the Bin Packing Problem Evolving code with a large language model.Genetic Programming and Evolvable Ma- chines, 25(2):21, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.169451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825d5d43-0743-4dbc-84e1-0eb60562a617 · outbound

This paper cites When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges.

An In-depth Study of LLM Contributions to the Bin Packing Problem When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.221934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71449c17-a1f5-4072-aa7c-2c22fa30ca3d · outbound

This paper cites Bridging evolutionary algorithms and reinforcement learning: A com- prehensive survey on hybrid algorithms.IEEE Transactions on evolutionary computation, 2024.

An In-depth Study of LLM Contributions to the Bin Packing Problem Bridging evolutionary algorithms and reinforcement learning: A com- prehensive survey on hybrid algorithms.IEEE Transactions on evolutionary computation, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.303718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eec45dc4-b4dc-46e3-83b2-fcd3c036bdf3 · outbound

This paper cites Fully autonomous programming with large language models.

An In-depth Study of LLM Contributions to the Bin Packing Problem Fully autonomous programming with large language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.384081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc635c3-8e90-4212-b363-f1f95fe70e71 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

An In-depth Study of LLM Contributions to the Bin Packing Problem Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.496901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba8c08b-f206-40fa-af6c-74acb76e0d2f · outbound

This paper cites Evolution through large models.

An In-depth Study of LLM Contributions to the Bin Packing Problem Evolution through large models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.573828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1061c6a8-bd3a-42bd-9af5-97a1c51037d5 · outbound

This paper cites Advancing math- ematics by guiding human intuition with ai.Na- ture, 600(7887):70–74, 2021.

An In-depth Study of LLM Contributions to the Bin Packing Problem Advancing math- ematics by guiding human intuition with ai.Na- ture, 600(7887):70–74, 2021

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.648960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce33cc4f-257d-4981-af44-3a73cc031f04 · outbound

This paper cites Discovering symbolic models from deep learning with inductive biases.

An In-depth Study of LLM Contributions to the Bin Packing Problem Discovering symbolic models from deep learning with inductive biases

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.708675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6ef486-c1d1-4d3f-a877-ef1d084b8568 · outbound

This paper cites PaLM 2 Technical Report.

An In-depth Study of LLM Contributions to the Bin Packing Problem PaLM 2 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.746487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94ee3fe-1802-4f99-a529-073e5fe6e702 · outbound

This paper cites For- mal mathematical reasoning: A new frontier in ai.AI Magazine, 2025.

An In-depth Study of LLM Contributions to the Bin Packing Problem For- mal mathematical reasoning: A new frontier in ai.AI Magazine, 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.826174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c15144-f659-465a-960d-f8ab339f783b · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

An In-depth Study of LLM Contributions to the Bin Packing Problem Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.898642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1002db78-3b43-4bca-814b-4bd6f6c80cc3 · outbound

This paper cites an unresolved cited work.

An In-depth Study of LLM Contributions to the Bin Packing Problem Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:51.969155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0f7da8-e2e7-4d4d-8dd5-c48337e48f67 · outbound

This paper cites Reevo: Large language models as hyper-heuristics with reflec- tive evolution.Advances in neural information processing systems, 37:43571–43608, 2024.

An In-depth Study of LLM Contributions to the Bin Packing Problem Reevo: Large language models as hyper-heuristics with reflec- tive evolution.Advances in neural information processing systems, 37:43571–43608, 2024

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.052410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d440fda-9866-41ce-90a7-ecba776caa63 · outbound

This paper cites Beyond the hype: Benchmarking llm-evolved heuristics for bin packing.

An In-depth Study of LLM Contributions to the Bin Packing Problem Beyond the hype: Benchmarking llm-evolved heuristics for bin packing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.128359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d137c71d-a25c-4968-b24a-84e80f8d60e4 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

An In-depth Study of LLM Contributions to the Bin Packing Problem Detecting hallucinations in large language models using semantic entropy

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.209080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c2e27e9-fa12-4485-85b2-714aabaf05f9 · outbound

This paper cites Johnson, Alan Demers, Jeffrey D.

An In-depth Study of LLM Contributions to the Bin Packing Problem Johnson, Alan Demers, Jeffrey D

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.261623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b4fe6a-35ec-44cf-8b04-ca9ee206994f · outbound

This paper cites Near-optimal algo- rithms for stochastic online bin packing.ACM Transactions on Algorithms, 21(2):1–39, 2025.

An In-depth Study of LLM Contributions to the Bin Packing Problem Near-optimal algo- rithms for stochastic online bin packing.ACM Transactions on Algorithms, 21(2):1–39, 2025

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.331500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0386758-2d7a-4e13-93c9-b794f042428e · outbound

This paper cites The average-case analysis of some on-line algorithms for bin packing.Combinator- ica, 6(2):179–200, 1986.

An In-depth Study of LLM Contributions to the Bin Packing Problem The average-case analysis of some on-line algorithms for bin packing.Combinator- ica, 6(2):179–200, 1986

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.391140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24bb663c-6bc1-434d-8cb1-b46c902958e6 · outbound

This paper cites A stochastic model of bin- packing.Information and control, 44(2):105– 115, 1980.

An In-depth Study of LLM Contributions to the Bin Packing Problem A stochastic model of bin- packing.Information and control, 44(2):105– 115, 1980

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.470298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22d8fea3-2ae4-465c-a0b7-46198b642c28 · outbound

This paper cites Bin packing with discrete item sizes, part ii: Tight bounds on first fit.Random Structures & Algorithms, 10(1-2):69–101, 1997.

An In-depth Study of LLM Contributions to the Bin Packing Problem Bin packing with discrete item sizes, part ii: Tight bounds on first fit.Random Structures & Algorithms, 10(1-2):69–101, 1997

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.543489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 846a263e-d8d6-4e16-ba44-fcae96d97831 · outbound

This paper cites Some unexpected expected behavior results for bin packing.

An In-depth Study of LLM Contributions to the Bin Packing Problem Some unexpected expected behavior results for bin packing

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.615524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78bead5-82e5-4d97-ba18-46324ce0c656 · outbound

This paper cites Best-fit bin-packing with random order.

An In-depth Study of LLM Contributions to the Bin Packing Problem Best-fit bin-packing with random order

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.693715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65363bd-3638-4acc-a786-9e993bf1d2aa · outbound

This paper cites Or-library: distributing test problems by electronic mail.Journal of the oper- ational research society, 41(11):1069–1072, 1990.

An In-depth Study of LLM Contributions to the Bin Packing Problem Or-library: distributing test problems by electronic mail.Journal of the oper- ational research society, 41(11):1069–1072, 1990

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.755905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a9f861-78d0-4e24-ac88-e0a92f2275a5 · outbound

This paper cites Examples are not enough, learn to crit- icize! criticism for interpretability.Advances in neural information processing systems, 29, 2016.

An In-depth Study of LLM Contributions to the Bin Packing Problem Examples are not enough, learn to crit- icize! criticism for interpretability.Advances in neural information processing systems, 29, 2016

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.812310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcbb42dd-b968-43b2-9f30-fb3e87705817 · outbound

This paper cites Obtaining dynamic scheduling policies with simulation and machine learning.

An In-depth Study of LLM Contributions to the Bin Packing Problem Obtaining dynamic scheduling policies with simulation and machine learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.866102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e9f9df-a9ba-4bd3-a649-0bf24503c0c9 · outbound

This paper cites QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution.

An In-depth Study of LLM Contributions to the Bin Packing Problem QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T07:02:52.919799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.