Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.03600.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:29:29.669018Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:02:40.697241Z
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 f9acdf9d-790b-4f07-b5c0-99528ff30f5e · inbound
InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks cites this paper.
InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:29:29.669018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a344568-d801-499c-8fc3-6826214e0b4c · inbound
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning cites this paper.
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:13:41.574574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd2e243e-ee8c-4ec6-af27-1c518936c248 · inbound
Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach cites this paper.
Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:58:26.942064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a623fbdd-c0d4-4a1b-b76f-b7d407e03eb4 · inbound
Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains cites this paper.
Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T17:02:40.702809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.