Paper Citation Record · LEDGER

Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.10207.

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

pith.paper-citation-record.v1
2402.10207 v6

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 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:15:24.339311Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.576046Z

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 6ba090e3-3d41-40cd-bfd6-9d292e8913b4 · inbound

WST: Weak-to-Strong Knowledge Transfer via Reinforcement Learning cites this paper.

WST: Weak-to-Strong Knowledge Transfer via Reinforcement Learning Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T17:15:24.339311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6953fa4-562f-4082-b935-d3d09c1b72ba · inbound

Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards cites this paper.

Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T13:15:48.191559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0b42742-611c-422a-8e2c-7ff795a6b75d · inbound

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL cites this paper.

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T20:51:45.443374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f73e5db-10d1-4e95-a25b-9b5b9328ffe0 · inbound

VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models cites this paper.

VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:39:54.355096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6bbab73-1a23-4558-a29d-e3dc6f00beee · inbound

Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents cites this paper.

Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:29.531863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eeae465b-d069-49ee-898b-185ef3bd2303 · inbound

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:07:00.538464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc680e4a-af5c-4c2b-83c2-f3163f660812 · inbound

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:12:58.946482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c1070bc-f6bd-413e-ae3c-3f38ea0934f5 · inbound

SURF: Steering the Scalarization Weight to Uniformly Traverse the Pareto Front cites this paper.

SURF: Steering the Scalarization Weight to Uniformly Traverse the Pareto Front Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:44:00.889332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f44d6300-f3a8-4b48-a8be-ccb18437ec60 · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.577685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.