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Paper Citation Record · LEDGER

Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.15044.

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

pith.paper-citation-record.v1
2410.15044 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:48.892980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:56:38.530888Z

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 bf26345e-c600-45b6-a467-76dbefc5d2a5 · inbound

"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People cites this paper.

"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:48.892980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:48.892980Z digest=sha256:f9e0f3454177f851272bb6e69bcc488e865e74b06178f98a96ffcee307ee8124

Observation 275263e2-9645-4aae-a989-9a78b7e1e23f · inbound

Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory cites this paper.

Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:15.493303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:15.493303Z digest=sha256:78fca6e6d8682cda3342da803b18a22b4e460017f41df557146f291acc31ddc7

Observation 8b7fc4ef-fcba-4ab4-8ccf-cd3fba2265a8 · inbound

Towards Aligning Personalized Conversational Recommendation Agents with Users' Privacy Preferences cites this paper.

Towards Aligning Personalized Conversational Recommendation Agents with Users' Privacy Preferences Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T22:01:05.460152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:01:05.460152Z digest=sha256:c9048d601928bfede28224be54cb7e18615a942eca29544638690fb16d629b2d

Observation 59c148b2-78e8-4688-a2d6-5b193d80396d · inbound

When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information cites this paper.

When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:06:37.962556Z

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.

source=pdf_text observed=2026-05-12T03:41:36.453099Z digest=sha256:fc7cadcd9734d06021e98076f1a49eadb908ec0b71d1f7c603e7bc9fa32c9747

Observation 90fdd7f0-4000-4e70-b492-9caca0b61b15 · inbound

Focused on the User, Overlooking the Risks: Security and Privacy Understandings, Practices and Challenges of Independent Chinese AI Agent Developers cites this paper.

Focused on the User, Overlooking the Risks: Security and Privacy Understandings, Practices and Challenges of Independent Chinese AI Agent Developers Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:56:38.446454Z

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.

source=pdf_text observed=2026-06-28T08:49:01.142862Z digest=sha256:e79c8bba8329ede6dabb29230eda8f7525f60b5ef45a5d628322269f3ea12dff

Observation 6f92cb19-adbc-4f7c-adee-0aaca60922e1 · inbound

Generative AI-Enabled Refund Fraud in Chinese E-Commerce: Investigation on Merchants and Platform Workers cites this paper.

Generative AI-Enabled Refund Fraud in Chinese E-Commerce: Investigation on Merchants and Platform Workers Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:36:30.056056Z

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.

source=pdf_text observed=2026-06-28T09:51:14.775196Z digest=sha256:8d72ddc9166f24ec47e8a6a50c98f83e349e884c977b3926625e71540c239eac

Observation 0297497f-3122-431c-8d52-38951d2de7c5 · inbound

Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows cites this paper.

Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:56:38.532328Z

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.

source=pdf_text observed=2026-06-28T08:46:26.613059Z digest=sha256:f31279d6093d209e3428804601374558042bf77fb4a98cdb289a03425b00eac8