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Paper Citation Record · LEDGER

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.29521.

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

pith.paper-citation-record.v1
2606.29521 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:30:24.505373Z

measured 44 of 44 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 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

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2ee0e17-d86c-40a7-b383-031aeed4d206 · outbound

This paper cites IEEE Transactions on Emerging Topics in Computational Intelligence , year=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization IEEE Transactions on Emerging Topics in Computational Intelligence , year=

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:df83984cdaaa02161e42bca60c7bc8d8d0a12225445da830dbd64d1fa489a505

Observation d51d53c0-649e-4566-b554-c6263dde9740 · outbound

This paper cites an unresolved cited work.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:4272ac225624d369f92536a1a0c89f76dbbafdf886b8de3569866113c93ff2b6

Observation 4e05f4c4-56a4-4a3d-9d10-11bbbd8ce0ee · outbound

This paper cites Advances in neural information processing systems , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Advances in neural information processing systems , volume=

Reference 3

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:bb155b272741c79775cef63ae8d6329f3ed964c12d04ed575bf0dcb6753a69d3

Observation 1ad68a16-2000-432b-99fd-67fd2e450206 · outbound

This paper cites Advances in neural information processing systems , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Advances in neural information processing systems , volume=

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:1946c74ccf3c615927eda74918d3005b8460cc76d34df2157af88defc926aa5a

Observation aa9d5ff2-2abf-4172-9ec6-cb4b48e5f168 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Advances in Neural Information Processing Systems , volume=

Reference 5

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no resolver link, observed 2026-06-30T07:30:24.505373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:cc327e8cb764bdc17d24b6824013a95e8adcec27ba3e2c21fd738030e9a78dc6

Observation 4cfaf9c6-461d-4158-af2f-c0f541035385 · outbound

This paper cites Structural and multidisciplinary optimization , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Structural and multidisciplinary optimization , volume=

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:45887fc3ae1c21f8c63655d334b489596b2adf1a563dd234854ab92afb06ff97

Observation e9e4c606-f7a9-4d3c-8b5d-f994e1305e78 · outbound

This paper cites Advances in neural information processing systems , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Advances in neural information processing systems , volume=

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:2a9f078fcdaf5498c6e38fc2208096b6f754b5024a22fa942c514640d1146023

Observation 35bf4cd6-1866-4dcf-8e66-1f8b30e2fce8 · outbound

This paper cites Advances in neural information processing systems , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Advances in neural information processing systems , volume=

Reference 8

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no resolver link, observed 2026-06-30T07:30:24.505373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:08b9b5ddde60707270c2b186fcc283d2632eae5cc46cd7cddf8e2f1c26c6b801

Observation 09a5cbdb-407e-40a2-b369-01a2c3313c6f · outbound

This paper cites Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making

Reference 9

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arxiv_id, observed 2026-06-30T07:34:21.522570Z

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=2026-06-30T07:30:24.505373Z digest=sha256:fe9734754b63b0eefd941cc73396e7f5237c2964a899eb0897baec607ab9957f

Observation 82de171f-a9fb-4bb9-b2c7-dd98d3d95969 · outbound

This paper cites International Conference on Machine Learning , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization International Conference on Machine Learning , pages=

Reference 10

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:39ff3f31039d27127ed779d6fdf2b9532e47d3ac51e47088c7a89a3f7bfba843

Observation 1337335e-d526-4b9f-8577-9cb93d9cb098 · outbound

This paper cites International Conference on Machine Learning , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization International Conference on Machine Learning , pages=

Reference 11

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:c3d374e1ea18b30e355ed81f9d90b9fb1748e55ea073d067d8044f0d376b9547

Observation 7798b640-6248-43d9-b399-9df6c1b01663 · outbound

This paper cites Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the Kurdyka-.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the Kurdyka-

Reference 12

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:42f281c12e3bc649c6fc10686acf7c219f0afd44d7994b59b73d7ad18711a698

Observation 687cb8b7-a49c-4d00-b873-71a12c0a18c0 · outbound

This paper cites Mathematical programming , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Mathematical programming , volume=

Reference 13

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:82786b14d0cb703cf573de75cd469722a0535a4e3334727b3f18d42fbac2d799

Observation 4f3a7643-6d72-4fea-990d-8267ab0790d9 · outbound

This paper cites Mathematical Programming , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Mathematical Programming , volume=

Reference 14

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:dc240af103216d90352125f9701d13ca354615861d213f64921510c8e0269fe9

Observation d1a6211f-c6ac-44d7-b94d-29ef0f3579b3 · outbound

This paper cites 1998 , publisher=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization 1998 , publisher=

Reference 15

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:165cda887d3f10b67538584b14c84dd07faeabdebaa699a4d564ae8563d1a902

Observation ab366ca9-23d8-482b-a617-56cc9063ee77 · outbound

This paper cites Mathematical methods of operations research , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Mathematical methods of operations research , volume=

Reference 16

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:f085bbd2a1084441a438186a020d8f5d4cd5d578c0578d4b89eafcc729612fed

Observation f0c224e8-5965-46f2-8dca-f1e44b1bcd7a · outbound

This paper cites 1999 , publisher=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization 1999 , publisher=

Reference 17

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:0af9e24efdcf88a6156f60099c43be7f0f920eecdf788cb731543bf9585e6f57

Observation 578c2b9f-dedb-443a-a87c-2940fa567ea6 · outbound

This paper cites The Eleventh International Conference On Learning Representations , year=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization The Eleventh International Conference On Learning Representations , year=

Reference 18

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:01e9c432cfbff230403bbaf5cfb55f61e0b8dc250536c1664dcf7146160ae469

Observation 3ee8d9fa-2351-43bb-ba14-c41d60e5cb54 · outbound

This paper cites ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 19

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:f65d7ed16fe3054a9070f8f6542dbaec6d5d464af2de6d695e902e4cb95c919c

Observation 28d6504d-1ed7-4acd-89c9-ede6342e156e · outbound

This paper cites Learning the Pareto Front with Hypernetworks.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Learning the Pareto Front with Hypernetworks

Reference 20

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verified exact
arxiv_id, observed 2026-06-30T07:34:21.519258Z

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=2026-06-30T07:30:24.505373Z digest=sha256:4d72a96bff2ff76c9a81365d8c1c7f719a00361ac6fec0fc1f311e4602090246

Observation 3faf96ad-cf04-4edb-9cba-7f306c372307 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 21

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:9bd7c4f466965438c36775b1f876a5713a4d93456d54af876cb6207394653349

Observation 8ed47862-3e0e-435f-8b27-737eb9f44647 · outbound

This paper cites International conference on machine learning , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization International conference on machine learning , pages=

Reference 22

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Observation ba0d250e-ee66-4884-b2b2-6464d127a48d · outbound

This paper cites International conference on learning representations , year=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization International conference on learning representations , year=

Reference 23

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:103961938d95feeab8b9fe5796c566b1e306a2a79838096929c45a40523264e4

Observation 43a3acda-a018-4e05-a8e6-5653f5a2344c · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 24

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:a808054d35c52259acb593bf453b0bfb14730736e8936515cf9fb5a20cd034b3

Observation b097356d-1b85-46e2-bada-89de5b6439cd · outbound

This paper cites Cooper: A Library for Constrained Optimization in Deep Learning.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Cooper: A Library for Constrained Optimization in Deep Learning

Reference 25

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arxiv_id, observed 2026-06-30T07:34:21.516815Z

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=2026-06-30T07:30:24.505373Z digest=sha256:c3125bc6b666c82e335c391da64b121e06d0aa5908ff025cf7d398a96834bc52

Observation bdfbe822-3112-4f98-bdc8-fc37fb25f6bf · outbound

This paper cites an unresolved cited work.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:ecae1aa3f7830aeab3e7432ecf310e6a7cbc1b16636663995e25f20847f2ed04

Observation 459923d3-2182-40f3-9159-6ad7b55a5631 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 27

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:2eb9d4b7ee691c396f3231b4c87f5faa87ae65d236aedf510dd5fe23baeb08b6

Observation b47c60a1-a49b-4b50-9e04-c041dc0e828c · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 28

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no resolver link, observed 2026-06-30T07:30:24.505373Z

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:198c48848336e07d54e904cede8f91b8eb7d398b3452faf4cfb61614d629bdd0

Observation 240b2767-7bc2-4b43-957d-c94622a6e4a9 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 29

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metadata mismatch
local_arxiv, observed 2026-06-30T07:34:21.506882Z

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=2026-06-30T07:30:24.505373Z digest=sha256:c86f3b149fbb61ea5b4452cf7b1cccc4e71e6e2b1f710d230966293a09b9ede7

Observation 36ac01b4-2189-4b7c-8e95-c524fc8ead6c · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:6a4f29c5f9b80a1d4c1c2f383ddb4e330710f6099a0b3cdd418e7adedc088d4b

Observation fd006bca-50c3-4368-b5b7-4fdd111e6a64 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 31

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:09cc65fd5e7ab565fda42c9aed28e61b70eabb1c7944f36239812a8ed1ca15c2

Observation 62db602c-58c9-40dd-99aa-fa9f92a33a80 · outbound

This paper cites SIAM journal on optimization , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization SIAM journal on optimization , volume=

Reference 32

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:85276f0d82f6ae083a7a29030feabdde2cf75337bbb0bb493e19b92edda25fe2

Observation ddd11721-41a4-42c7-a598-7c12207573fd · outbound

This paper cites Empirical Analysis of the Hessian of Over-Parametrized Neural Networks.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Empirical Analysis of the Hessian of Over-Parametrized Neural Networks

Reference 33

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metadata mismatch
local_arxiv, observed 2026-06-30T07:34:21.510394Z

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=2026-06-30T07:30:24.505373Z digest=sha256:d49180c2ce47374d434a795041ad55613e860cc4350bb51fcc1f6cb17869aee7

Observation e7d8184e-7f6b-4158-bb7b-62cab94ccf40 · outbound

This paper cites International Conference on Machine Learning , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization International Conference on Machine Learning , pages=

Reference 34

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:5ceb6e90b52fa31f6279331e39817d9f5fc1a34c756a31713197a2c0e76e64ff

Observation 34b7ffd9-b9ca-4d63-a0d5-f62727520e51 · outbound

This paper cites Revisiting.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Revisiting

Reference 35

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:b551e74f52d6090f0e71eec0675225cda6e6c00834bf9effb705a7376a98df9d

Observation b0c97d1a-f4d6-4b6f-9faa-fb2d0d6b23e0 · outbound

This paper cites Top , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Top , volume=

Reference 36

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source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:42de1148f04bf3d013ab4c1e0589c98987d217a58eaee8b1c4370b433ce43adf

Observation 51ec7cf1-4aaf-4c70-b1ec-243d82baaf5c · outbound

This paper cites and Tucker, Albert W.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization and Tucker, Albert W

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:256478cff310f9180fdeec2ebc3fe01b32db5e02751ca0b9eda30d6b902270c3

Observation f46c88b5-5519-4b9f-8296-df681059cd65 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 38

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unresolved
no resolver link, observed 2026-06-30T07:30:24.505373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:a6afee661b50112ecc4ff2e6295ee8d501364888168846a25aab059fb146ed1d

Observation 7118ca8a-cdf5-4ed4-a29a-0136e159bd9f · outbound

This paper cites arXiv preprint arXiv:2508.15008 (2025).

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization arXiv preprint arXiv:2508.15008 (2025)

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:21.513069Z

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=2026-06-30T07:30:24.505373Z digest=sha256:bbe0e4f621deecb587bea1ea0d5fd03d6cb6a137d4ac78bc00082373289728f5

Observation ab20fb7e-df37-43f1-ba08-c2aa685ee2e6 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-30T07:30:24.505373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:7c889b0ea16591e692a28fa972cba849feb4bf646415a3b65aed33a3efa29b4f

Observation 662e7434-6c2d-41bc-8e9f-0be7aab0e6bf · outbound

This paper cites Knowledge-Based Systems , volume=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Knowledge-Based Systems , volume=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-30T07:30:24.505373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:1edeb90ae886fd638094f3c5c5458645646c66def3f291e73277974b756cb9b0

Observation bd51c90f-a596-484b-9b77-1f5a51c89a77 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-30T07:30:24.505373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:5df8f7e99cd8f603a69ce86e61db5adb015eac6e29bdbffbfc67d303b281bc48

Observation 70a4bb0c-ba4f-488c-b06a-c382243ce1ff · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Adam: A Method for Stochastic Optimization

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T07:34:21.504706Z

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=2026-06-30T07:30:24.505373Z digest=sha256:8bfab0a84b5f48e3173008424de2cedf67ad071f2e5b38354254e55d73aad131

Observation 6ba19600-b53e-47d7-b7be-ed55dd8cdcb1 · outbound

This paper cites 2007 15th European signal processing conference , pages=.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization 2007 15th European signal processing conference , pages=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-30T07:30:24.505373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:2482c60f57aed982c90c97ec391cce53fb6cb8cfda411880342f961504088f87

Pith citing papers

No inbound Pith citation observations are available.