Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T21:17:53.242182Z
Paper Citation Record · LEDGER
TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning
As of 22 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2605.25850.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:53:26.206601Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5edcd46b-0dd3-4228-b3f0-3868542a2c12 · outbound
This paper cites MASH: Modeling Abstention via Selective Help-Seeking.
TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning MASH: Modeling Abstention via Selective Help-Seeking
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T21:23:59.202807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 12066919-c45a-4d6f-bd89-9ae10a0009c6 · outbound
This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T21:23:59.199943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation 1d0ec2be-5923-4e84-8d32-c4160d977077 · inbound
Abstention as an Action Can Kill Both the Reward Gradient and the KL Anchor: Collapse Law and Repair for Error-Penalized Reinforcement Learning cites this paper.
Abstention as an Action Can Kill Both the Reward Gradient and the KL Anchor: Collapse Law and Repair for Error-Penalized Reinforcement Learning TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:53:26.206601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.