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Paper Citation Record · LEDGER

Operationalizing Contextual Integrity in Privacy-Conscious Assistants

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2408.02373.

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

pith.paper-citation-record.v1
2408.02373 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:16:50.682904Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.219442Z

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 91aecc22-3bd7-4410-aa5d-ee94f328fb0c · inbound

Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography cites this paper.

Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T20:16:50.682904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:16:50.682904Z digest=sha256:870e6f39575ace062d356b5c565a27a9369223961b3b0a3e4e12d349ec72fef4

Observation 3344f4b0-22fc-47bb-9357-a7a1374149d4 · inbound

CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models cites this paper.

CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T14:51:58.775448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:51:58.775448Z digest=sha256:d272540c9a13ba999f6c52699ba6d3e1a87244f79fee7fef3e792da6c825dd08

Observation a516e637-81c7-488f-b604-6edc6b4a330c · inbound

Position: Contextual Integrity is Inadequately Applied to Language Models cites this paper.

Position: Contextual Integrity is Inadequately Applied to Language Models Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.787378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.787378Z digest=sha256:d54763aa2f046023c82fe710dfc5bfa12733b656be6204437f790305cd661a77

Observation fef6c64a-e147-43c6-a8b0-824ba5572579 · inbound

Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning cites this paper.

Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:26.304358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:37:26.304358Z digest=sha256:8c3a673c9c4b9731b73e0f0be616f98bb33d56a65a8297ff99083c76c19e274e

Observation 1798c20f-fe62-4018-9f45-b3b0a4967bfb · inbound

CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents cites this paper.

CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T10:32:34.122038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:32:34.122038Z digest=sha256:d8ef6715c2272c3dac3d4c9fa61bdae5f0186c0cdc6dd845d210e30c03685ff4

Observation fe9ea048-b40f-499f-9887-5456bee74a51 · inbound

NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents cites this paper.

NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T09:10:14.966334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:10:14.966334Z digest=sha256:c4fdda4fd81946b115464a4181b0340c98a40155cf0ba169f6197f5ecbf4da12

Observation 8023fa82-46ef-4204-8289-753fb2f6465a · inbound

PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems cites this paper.

PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T16:18:37.479699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T16:17:37.824542Z digest=sha256:bae4f54259c3ddb81fc9bf28e7931d539772b0190b6bb6e9b2c17b9e1cca6b8d

Observation f0edfc22-7689-4f5a-bd33-6cf57712a0a2 · inbound

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents cites this paper.

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T10:53:13.329028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T10:51:19.555985Z digest=sha256:c248635214a9341a1846957e665db225bff3524236026cc967a46b1e5bdf90ef

Observation ee8ee9dd-0f12-4dee-9ea5-7b9a23cfb315 · inbound

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs cites this paper.

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:09:51.881320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T08:05:44.358256Z digest=sha256:96bdcbaa32d65309b51dac332d8769cab2dfb027691d4b512c60be8cd84b0cee

Observation b1ab68ae-795d-4f73-85b7-aaa5b98876ab · inbound

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security cites this paper.

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:45:01.647864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T19:18:40.244556Z digest=sha256:5b8bffe82d267f18ddafebd00a5cb583e09b0bdd72b066ead5e4e02007c6e3ce

Observation 75ed03b1-639b-45ab-80cc-1b88d5307dbf · inbound

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:09:53.221043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T04:29:16.386339Z digest=sha256:ed934af99f21a94087ab78094844ee0cf529ced3c8eb5ed3a6eedd53c775023f

Observation 0b4e14c1-c4f5-49bc-ba95-6624da8b7409 · inbound

Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents cites this paper.

Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:44:41.409466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T05:48:15.990443Z digest=sha256:100cd74f3881a2dce9b2d4625ef24b3538105d84e7c35a52b881ba90d0436f5e