Paper Citation Record · LEDGER

Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1911.00841.

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

pith.paper-citation-record.v1
1911.00841 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 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:17:45.633079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:01:05.965576Z

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 9b6eaffc-cb4c-474e-ac94-4255f4d85756 · inbound

Unanswerability Evaluation for Retrieval Augmented Generation cites this paper.

Unanswerability Evaluation for Retrieval Augmented Generation Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:17:45.633079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60108622-2266-43ab-bb6a-34d5ba265ab4 · inbound

Natural Language Processing of Privacy Policies: A Survey cites this paper.

Natural Language Processing of Privacy Policies: A Survey Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T19:15:08.403704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50e3f1db-29cc-4a5e-a069-69e1dd0027ac · inbound

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains cites this paper.

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:46.873908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc563263-5b02-419f-a5fb-5e5a10d97db6 · inbound

Do Privacy Policies Match with the Logs? An Empirical Study of Privacy Disclosure in Android Application Logs cites this paper.

Do Privacy Policies Match with the Logs? An Empirical Study of Privacy Disclosure in Android Application Logs Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:01:05.967483Z

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.

Observation 7a7d99fa-c82b-40df-a04b-6ea5a3437c5f · inbound

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards cites this paper.

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-02T02:01:55.029438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecdb1eef-29cb-4404-80a9-a1a26384acb7 · inbound

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System cites this paper.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T14:17:22.246516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.