Pith. sign in

Paper Citation Record · LEDGER

A Synthetic Dataset for Personal Attribute Inference

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.07217.

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

pith.paper-citation-record.v1
2406.07217 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:31.950878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:41:09.780350Z

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 f75c05fd-41f8-406e-a1a1-8f35bbd13d0a · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents A Synthetic Dataset for Personal Attribute Inference

Reference 172

Resolution
unresolved
no resolver link, observed 2026-08-11T22:18:31.950878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:31.950878Z digest=sha256:b5357454005dcd95581ad95f07ce980dd087782431f46540109156c2a5bf3ebb

Observation 91206ef2-6d08-473d-b0ff-a1788a94759d · inbound

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation cites this paper.

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation A Synthetic Dataset for Personal Attribute Inference

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T13:05:51.196116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:05:51.196116Z digest=sha256:fb7c0bf9662c4118fd57c123ff416d4825390f4ea9f7a8f11c5a4f0dfdfa0b50

Observation 90318faf-acca-4730-9390-180725a95f6f · inbound

IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data cites this paper.

IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data A Synthetic Dataset for Personal Attribute Inference

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:35.395308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:28:35.395308Z digest=sha256:fbf58f3e42368063825fc3c2182829c85c289d5f1c237db332b9404b32c23cf0

Observation e789514f-6b6b-4f98-ba27-43985d25544b · inbound

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation cites this paper.

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation A Synthetic Dataset for Personal Attribute Inference

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:41:09.823353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:31:30.510866Z digest=sha256:7312ac29b3de56f85ba91acbf97a372369bc2a7dd6f1c6df1c8965e6b332e8a8

Observation ef2c2f23-3fd6-4921-94fa-4bf4209c36fb · inbound

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation cites this paper.

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation A Synthetic Dataset for Personal Attribute Inference

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T19:49:46.135987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:49:46.135987Z digest=sha256:3ecd42afcefb3c96891cab84ca68e770a754db06ba024b19f8c255ece0dde51a