Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T04:56:18.357623Z
Paper Citation Record · LEDGER
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
As of 5 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2605.09094.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved4
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ee120c57-46c6-45e7-be35-56c7b64e40e0 · outbound
This paper cites Ye, F., Lin, B., Yue, Z., Guo, P., Xiao, Q., and Zhang, Y.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Ye, F., Lin, B., Yue, Z., Guo, P., Xiao, Q., and Zhang, Y
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.707809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c7b81050-1482-4bc8-843c-c4045e6dac47 · outbound
This paper cites Recently, (Zhang et al., 2026), for the first time in the literature, investigates the Pareto front exploration, yet their approach requires the restrictive LLSC condition.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Recently, (Zhang et al., 2026), for the first time in the literature, investigates the Pareto front exploration, yet their approach requires the restrictive LLSC condition
Reference 2
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-15T05:00:03.712221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c6ee3186-1331-4af7-9009-cd59a9c67053 · outbound
This paper cites In addition, we can also traverse λ over ∆+ S to let Algorithm 2 reconstruct the entire weak Pareto front.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization In addition, we can also traverse λ over ∆+ S to let Algorithm 2 reconstruct the entire weak Pareto front
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.687454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e465ba7d-62ea-40ba-810b-6123c074c88e · outbound
This paper cites X s∈It (|¯ct,s −c t,s|+|c t,s|) #2 ≤4E.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization X s∈It (|¯ct,s −c t,s|+|c t,s|) #2 ≤4E
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.692020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb9f236c-72e8-4b19-8bd8-7e5ecda8e12c · outbound
This paper cites an unresolved cited work.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:00:03.715898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6ff12ddc-ee74-4737-b19a-5f83eeb3c84c · outbound
This paper cites 31 A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization E.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization 31 A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization E
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.643564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6c0c3d12-34eb-4a10-aee1-4853f4bc84f5 · outbound
This paper cites Overview.The reward model scores LLM-generated responses to prompts based on human-aligned criteria in Reinforcement Learning from Human Feedback (RLHF).
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Overview.The reward model scores LLM-generated responses to prompts based on human-aligned criteria in Reinforcement Learning from Human Feedback (RLHF)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.696098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 32a6da65-9ab7-4539-a3ef-fbb704b25c8e · outbound
This paper cites an unresolved cited work.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:00:03.703847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 887d04c6-9237-462b-a267-019554999eb6 · outbound
This paper cites slightly prefer.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization slightly prefer
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.700215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b4589b4c-d7da-4a41-9db9-3193a5bbc23d · outbound
This paper cites Except for the ability on Pareto exploration, we also highlight the good convergence behavior in Figure 12.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Except for the ability on Pareto exploration, we also highlight the good convergence behavior in Figure 12
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.682971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2e6dd1ab-5657-4e9d-95ff-13fe7541cae5 · outbound
This paper cites irregular.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.663258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8e66cb1e-1bc4-41f0-94e9-92fb8c1a5ff0 · outbound
This paper cites Overview.In the Large Language Model (LLM) Alignment task, our goal is to align a pretrained LLM with human preferences.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Overview.In the Large Language Model (LLM) Alignment task, our goal is to align a pretrained LLM with human preferences
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.667391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 55a65f47-8f17-4f42-89d8-c9f3426d2836 · outbound
This paper cites Similarly, we provide more numerical results on this data weighting in LLM alignment task along with discussions in this subsection.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Similarly, we provide more numerical results on this data weighting in LLM alignment task along with discussions in this subsection
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.675628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6af641df-5424-4ad0-8320-0e4692e640ba · outbound
This paper cites slightly prefer.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization slightly prefer
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.671269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1337c51b-ec2f-4fa2-bdff-d1e3cf41a433 · outbound
This paper cites CUDA out of memory.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization CUDA out of memory
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.659337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b05873b-ef82-44b3-b521-cc1e7134a954 · outbound
This paper cites an unresolved cited work.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:00:03.651826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 91389dbc-ac64-4ed9-8612-cd988c8af8d7 · outbound
This paper cites an unresolved cited work.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:00:03.655427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 345b899c-0f61-46fa-98d4-27c3a174440d · outbound
This paper cites Equally Prefer.
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Equally Prefer
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:00:03.647556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.