Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:23:00.241691Z
Paper Citation Record · LEDGER
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood
As of 6 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2604.12736.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:16:33.561853Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T00:16:33.860112Z
Reference resolution
6 of 6 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dc6f50a1-32fc-443c-b4c0-78c4f578d803 · outbound
This paper cites One-shot Entropy Minimization.
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood One-shot Entropy Minimization
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:41:04.634441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0e95c879-4518-4e5e-a687-2e8d61d1d57d · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T10:41:04.649810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 96479e55-64c2-4c8a-945d-4daf4291782e · outbound
This paper cites (12) vanishes.
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood (12) vanishes
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T02:35:39.988153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ff92fb10-1de2-4d8e-8433-e13e1d049e86 · outbound
This paper cites an unresolved cited work.
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T02:35:39.990000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 743f532e-73bd-4881-a7c5-561ae3d45c62 · outbound
This paper cites an unresolved cited work.
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T02:35:39.985933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0b2322aa-8f69-4b78-907c-5b6183686102 · outbound
This paper cites This derivation underpins entropy regular- ization for balanced E-E trade-off in RL.
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood This derivation underpins entropy regular- ization for balanced E-E trade-off in RL
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T02:35:39.992357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 4040a79f-ea87-4fa8-a154-8efd0e91c9fe · inbound
Reusing Rollouts under Policy Lag: Prefix-Normalized Policy Optimization for LLM Reinforcement Learning cites this paper.
Reusing Rollouts under Policy Lag: Prefix-Normalized Policy Optimization for LLM Reinforcement Learning Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T00:16:33.864755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.