Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Information Leakage from Embedding in Large Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.11916.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:07:59.443142Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1b1b2830-c186-48d7-8d6f-fef41d5c7111 · inbound
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms Information Leakage from Embedding in Large Language Models
Reference 259
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:07:59.443142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b318fd1f-c2be-4027-986a-080307085676 · inbound
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs cites this paper.
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs Information Leakage from Embedding in Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:38:39.430162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a10baa12-7af1-4d0b-a40f-d57282231e8b · inbound
Cascade: Token-Sharded Private LLM Inference cites this paper.
Cascade: Token-Sharded Private LLM Inference Information Leakage from Embedding in Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:45:52.940346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e1bc5d0-2ea2-4624-baa3-1a79f08b5860 · inbound
RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry cites this paper.
RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry Information Leakage from Embedding in Large Language Models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T00:34:05.318201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c27320d1-428b-4231-9539-dda77889f8af · inbound
When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration cites this paper.
When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration Information Leakage from Embedding in Large Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:34:27.167121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.