Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompt Valuation Based on Shapley Values
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.15395.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.115162Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:16:21.691344Z
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 5db61965-af48-442f-abe8-08ebe6df05e6 · inbound
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Prompt Valuation Based on Shapley Values
Reference 123
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:50:33.115162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74aac5d7-e680-41ab-a8e3-85739a0e9154 · inbound
SCAR: Shapley Credit Assignment for More Efficient RLHF cites this paper.
SCAR: Shapley Credit Assignment for More Efficient RLHF Prompt Valuation Based on Shapley Values
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:02:50.454829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8c1bb0f-bba1-4f29-ac5c-7f12846f4f7e · inbound
Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection cites this paper.
Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection Prompt Valuation Based on Shapley Values
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:16:21.796758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.