Paper Citation Record · LEDGER

Jacobian Descent for Multi-Objective Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.16232.

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

pith.paper-citation-record.v1
2406.16232 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:54:01.575701Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation df9e1297-8ff3-4a71-b927-e70c0a455e16 · inbound

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics cites this paper.

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Jacobian Descent for Multi-Objective Optimization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T18:54:01.575701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1df2bbb-7967-457b-921d-2261b3459999 · inbound

Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data cites this paper.

Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data Jacobian Descent for Multi-Objective Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T22:37:31.547786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c3d0d5a-b0e5-4786-9566-63447f02d415 · inbound

Accessing the performance of CC2 for excited state dynamics: a benchmark study with pyrazine cites this paper.

Accessing the performance of CC2 for excited state dynamics: a benchmark study with pyrazine Jacobian Descent for Multi-Objective Optimization

Reference 85

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:05:48.079663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a38b7b6-953e-486e-a4c4-04b4f2aa534a · inbound

Delve into the Applicability of Advanced Optimizers for Multi-Task Learning cites this paper.

Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Jacobian Descent for Multi-Objective Optimization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:59.057508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b7d486c-8c12-468b-8535-fa52955b9979 · inbound

When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining cites this paper.

When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining Jacobian Descent for Multi-Objective Optimization

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:55.022903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49b94f5e-009f-48e9-9696-4ea0da2c1be9 · inbound

Learn from your own latents and not from tokens: A sample-complexity theory cites this paper.

Learn from your own latents and not from tokens: A sample-complexity theory Jacobian Descent for Multi-Objective Optimization

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:50.207779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 931ec840-348a-4774-abd0-6884d2461a75 · inbound

A Unified Framework for Gradient Aggregation in Multi-Objective Optimization cites this paper.

A Unified Framework for Gradient Aggregation in Multi-Objective Optimization Jacobian Descent for Multi-Objective Optimization

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:53:16.420337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d1fe785-a672-43b7-aec7-a2655ec542b7 · inbound

Multi-Objective Reference-Aligned Machine Unlearning cites this paper.

Multi-Objective Reference-Aligned Machine Unlearning Jacobian Descent for Multi-Objective Optimization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.158955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21ad6096-4e4b-4227-8ba3-120fe20932ff · inbound

Multi-objective design of photon blockade for bright single-photon sources cites this paper.

Multi-objective design of photon blockade for bright single-photon sources Jacobian Descent for Multi-Objective Optimization

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:19:33.903111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.