Paper Citation Record · LEDGER

Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.03010.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.03010 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:38:38.358259Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T01:27:30.936263Z

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 e1b153f3-dcfb-4886-a998-338e1fd4d020 · 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 Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:38.358259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b138e3-b806-41da-9d28-48b44564397f · inbound

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis cites this paper.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:22.524627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967164c8-6488-436c-a749-dcaaa8905e19 · inbound

Depth Gives a False Sense of Privacy: LLM Internal States Inversion cites this paper.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:12.894923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b84757f-e37a-48b3-a878-fd70c06db102 · inbound

inversedMixup: Data Augmentation via Inverting Mixed Embeddings cites this paper.

inversedMixup: Data Augmentation via Inverting Mixed Embeddings Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T07:00:24.757233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf74a403-037a-470a-8ae4-8ffa0857f277 · inbound

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.937706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29eb7100-1772-4142-a1a9-bf522b155093 · inbound

TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies cites this paper.

TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:01.143006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.