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Paper Citation Record · LEDGER

Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2108.00597.

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

pith.paper-citation-record.v1
2108.00597 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:18:57.047937Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T07:34:21.520601Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 340ec0fb-c3cc-4564-961d-7b356a69993d · inbound

Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond cites this paper.

Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-10T18:53:50.343300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:50.343300Z digest=sha256:ccfb4871710c3eb7d0f38ae71a8a7adde22b89fac751f173012eba10460a20a6

Observation 9e5382a9-403e-4baa-9fa4-7eaa902a30a3 · inbound

One Model for All: Multi-Objective Controllable Language Models cites this paper.

One Model for All: Multi-Objective Controllable Language Models Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:55:49.083252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T20:33:46.647842Z digest=sha256:1515783710ff987c2757efff662d24b673e87826b5d7e1e2a05c4d1adb4785d4

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

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

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

Resolution
metadata mismatch
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-30T07:30:24.505373Z digest=sha256:b9359284868b3c1eea633e4aaf097e8d5d4e341b9d6e0dc7cf0323c91e6c8776

Observation ee50e2be-7956-41dd-9404-7decb088294d · inbound

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level cites this paper.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:57.047937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:57.047937Z digest=sha256:0d3568502436882e6e5da1e1f8ee5b85f48b66cace806f1e02f07d654d64c035