Pith. sign in

Paper Citation Record · LEDGER

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization

As of 14 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.14007.

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

pith.paper-citation-record.v1
2412.14007 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:43:14.590382Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07c62ce3-0f84-4e69-8aa2-4cf6fb16679a · outbound

This paper cites Bonnel, A.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Bonnel, A

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:15.137479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.476281Z digest=sha256:6addfb989907d7148f24da7d8eea2971f209109c8faad62639b8593d541ce820

Observation 9580d0be-8e21-40d5-99a6-342282a24fd8 · outbound

This paper cites an unresolved cited work.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:43:15.121769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.483716Z digest=sha256:935d87145aee80780534c6b824eb6b9563ec82d36ea0e032041e58c496f862db

Observation 5ed39afe-c575-4fde-8c75-dfc011c32759 · outbound

This paper cites Fliege and B.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Fliege and B

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:15.105292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.490072Z digest=sha256:52bd063601501d3b18a0b029d34b806224d712cfe160b709f1e142c58c61f0b6

Observation b8edde11-159b-45ab-8c7c-71c78b0a4ac1 · outbound

This paper cites Fliege, L.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Fliege, L

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:15.088319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.494946Z digest=sha256:f18f8c2e57081a3610b908f285d3fdffa686d34b172fe07c18dd49680afa8714

Observation aa7af210-2414-4303-a840-f2db68b39737 · outbound

This paper cites an unresolved cited work.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:43:15.071318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.499786Z digest=sha256:9f02fc1a5ca5fe7c36412e6231d40508dfd6e820b729dfa3d78dc37ca0eb3eb2

Observation 64756358-b846-45a0-a554-e8e12469ae92 · outbound

This paper cites an unresolved cited work.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:43:15.048502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.506301Z digest=sha256:88fbf51b603cff7045328edcd775125e162f8159d11dcee575cad8492252fec9

Observation 3a5af08e-639c-4146-aaff-87a251ced6c3 · outbound

This paper cites A method for solving the convex programming problem with convergence rate O(1/k2)[C]//Dokl akad nauk Sssr.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization A method for solving the convex programming problem with convergence rate O(1/k2)[C]//Dokl akad nauk Sssr

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:15.033577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.511654Z digest=sha256:76078a5f3d0c7f8de710a92465be1e63ad3db2da3282b128ae5d4decb315bbd0

Observation 2d5c7efb-51df-4845-bd5b-1d32a79a8c09 · outbound

This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization A fast iterative shrinkage-thresholding algorithm for linear inverse problems[J]

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:15.015121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.516334Z digest=sha256:9434e4753f9179f232ad4607a5a6323afa56095df514db2f5e959064cf01bf71

Observation a47875c7-9717-41aa-a852-f1b6843afe0f · outbound

This paper cites Introductory lectures on convex optimization: A basic course[M].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Introductory lectures on convex optimization: A basic course[M]

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.993625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.521597Z digest=sha256:1ad7a20eb53ca5f91d9a69749659fe266eeb58b87f32ab4d93c84c3657a89be6

Observation 251fb2e0-35b9-4770-9ba8-773d53f0334e · outbound

This paper cites Smooth minimization of non-smooth functions[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Smooth minimization of non-smooth functions[J]

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.977718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.526308Z digest=sha256:1b0bd42456ef9602413ebf0dab00f112e9b57439fe3a228425e5d973cb37b367

Observation a72615c6-6d17-42bb-9a80-b19fd9c1247c · outbound

This paper cites On accelerated proximal gradient methods for convex-concave optimization[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization On accelerated proximal gradient methods for convex-concave optimization[J]

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.960260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.531798Z digest=sha256:afbc4dff2103ff5ac57038bc12947bbcf6014efad071361edc962c1c324ff757

Observation 9396f409-4d49-4d72-98ff-968c974359d7 · outbound

This paper cites An accelerated proximal gradient method for multiobjective optimization[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization An accelerated proximal gradient method for multiobjective optimization[J]

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.942461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.537645Z digest=sha256:b219a8c74646d61e937213010d6c8f0211befe001752aa8b6e267a2584c10b3c

Observation 5bd84c72-9ce8-4a10-ac04-763de79ddf96 · outbound

This paper cites Fast first-order methods for composite convex optimization with backtracking[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Fast first-order methods for composite convex optimization with backtracking[J]

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.927620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.542910Z digest=sha256:76f8fa7ca8fb97795d5cf0e2540dadc7f8cebd3806eeb521398e10e38e37a3ea

Observation b1b5391c-8f07-44f1-b02b-a3ac6fca8790 · outbound

This paper cites Nonlinear Programming, Athena Scientific, Belmont, Massachusetts[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Nonlinear Programming, Athena Scientific, Belmont, Massachusetts[J]

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.911141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.547653Z digest=sha256:a4bd046fee6360b4d45cc3468798f78a552327a9f7822ba54fcc6bbc1ea9f4ee

Observation 7b315c63-3214-457d-a7d9-2af9283771bc · outbound

This paper cites Rockafellar, Convex analysis, Princeton University Press, 1997.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Rockafellar, Convex analysis, Princeton University Press, 1997

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.895278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.552205Z digest=sha256:d43a392694f7e588810fa5df044ea846078006c4d779c06ceb08cd6dc898ea9e

Observation eb10ce63-7291-4024-817c-780b2f3dec77 · outbound

This paper cites Tanabe, E.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Tanabe, E

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.879667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.557127Z digest=sha256:ddfa2ca259cd0c00d3a083569255e779f29bfa1520d0c9b7b75b59fbce88b113

Observation 1a72705d-ea63-4022-b20d-ab6c58efa5f0 · outbound

This paper cites A review of multiobjective test problems and a scalable test problem toolkit[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization A review of multiobjective test problems and a scalable test problem toolkit[J]

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.863254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.561909Z digest=sha256:23ef9af00bb84bb3f5b57de447ed3d2543a1e238b2dadfae5c9aab2e2dd3c515

Observation 8d696951-ef6f-4790-a96a-f68a00c97072 · outbound

This paper cites Normal-boundary intersection: A new method for generating the Pareto surface in nonlinear multicriteria optimization problems[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Normal-boundary intersection: A new method for generating the Pareto surface in nonlinear multicriteria optimization problems[J]

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.847707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.567010Z digest=sha256:5a661223fed64a102e7cb46f884d6461977d437adfc5aaee2a365c816a9b44ca

Observation 86bc8bf3-151e-4a21-9957-5a4cdd3331b7 · outbound

This paper cites Generalized homotopy approach to multiobjective opti- mization[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Generalized homotopy approach to multiobjective opti- mization[J]

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.829448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.571319Z digest=sha256:f7d1d9d02e59f804703abcd206747b2ae5a3c01c2ee1de88aa3ffaee1670f5d8

Observation b84e0abb-d27a-4845-b36d-3861f59b820a · outbound

This paper cites A Barzilai-Borwein descent method for mul- tiobjective optimization problems[J].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization A Barzilai-Borwein descent method for mul- tiobjective optimization problems[J]

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.811567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.575697Z digest=sha256:d1e330c10a3b296bcf8de2d55afe90325f5690a8ef170c5f3c5986e7905d5e46

Observation bb0f5ce8-4f84-4435-9aed-59dada61b7bc · outbound

This paper cites Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how[C]//Proceedings of the genetic and evolutionary computation con- ference.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how[C]//Proceedings of the genetic and evolutionary computation con- ference

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.795892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.580242Z digest=sha256:6309e2bc92c8a21cd497f63f7748df1b55b3aafda466bd18fe1369ad0fa036a6

Observation ed68140f-e7bc-48ab-8c54-b5d43f6a30a5 · outbound

This paper cites Pareto set and EMOA behavior for simple multimodal multiobjective functions[C]//International Conference on Parallel Problem Solving from Nature.

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Pareto set and EMOA behavior for simple multimodal multiobjective functions[C]//International Conference on Parallel Problem Solving from Nature

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.779821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.585633Z digest=sha256:a9ce58f1e9377a4e074866b65db398abf2399e2a60b232971004cc5f187e01ba

Observation 205aca45-0b00-4b19-bf02-eddf660d872e · outbound

This paper cites Numerical algorithms for the treatment of parametric multiobjective optimization problems and applications[D].

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization Numerical algorithms for the treatment of parametric multiobjective optimization problems and applications[D]

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:43:14.635073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:43:14.590382Z digest=sha256:f5b85819d1097c4393642121b2854f47bca354a48e51d87446b242b86a16eb5a

Pith citing papers

No inbound Pith citation observations are available.