Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1207.3318.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-11T05:54:27.245457Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T04:54:18.174556Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation ffa4797f-2aa1-472e-b80e-42b5d3bc6b0f · inbound
Prospecting bipartite Dark Matter through Gravitational Waves Multi-Component Dark Matter Systems and Their Observation Prospects
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c2aa45f-0191-4871-930c-a016798aa385 · inbound
Unveiling the inert Triplet desert region with a pNGB Dark Matter and its Gravitational Wave signatures Multi-Component Dark Matter Systems and Their Observation Prospects
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29102655-8cd1-4ec7-8a9a-8c7e8d42fd2c · inbound
Mixed Freeze-In and Freeze-Out Histories and Dark-Sector Decays in a $\mathbb{Z}_4$ Two-Scalar Model Multi-Component Dark Matter Systems and Their Observation Prospects
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f94bbd1-82b2-4742-9365-52c004ff84e9 · inbound
Mono-X Signal Characterization from Two-component Dark Matter Using a Convolutional Neural Network Multi-Component Dark Matter Systems and Their Observation Prospects
Reference 38
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.