{"as_of":"2026-08-08T15:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8ccc806e863707fb7ad10749e19bb5c75d943c95dae4adcd8231e93385ef712","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:07:01.404609Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T09:26:51.586577Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.08223","last_updated":"2023-06-14T03:28:51Z","snapshot_observed_at":"2026-08-07T05:04:09.258274Z","submitted_at":"2023-06-14T03:28:51Z","title":"Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization","version":1},"cited_work":{"arxiv_id":"2306.08223","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.08223","snapshot_observed_at":"2026-07-02T09:26:51.586577Z","title":"Protecting user privacy in remote conversational systems: A privacy-preserving framework based on text sanitization","venue":null,"work_id":"3edc7b6a-d03e-43c2-93e4-a570ab6ecf21","year":2023},"citing_paper":{"arxiv_id":"2401.00870","last_updated":"2026-04-08T14:54:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-30T01:26:42Z","title":"ConfusionPrompt: Practical Private Inference for Online Large Language Models","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-24T04:57:55.197897Z"},"links":{"cited_paper":"/paper/2306.08223","citing_paper":"/paper/2401.00870"},"observation_digest":"sha256:b4090ffa6ed16719c739b647ecdea0cf19552e3ba8931b86fa0334e4b0655eae","observation_id":"f55a920c-c8b8-4afd-bb6f-4236ad28d8ce","resolution":{"observed_at":"2026-05-24T04:58:54.880420Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08223","last_updated":"2023-06-14T03:28:51Z","snapshot_observed_at":"2026-08-07T05:04:09.258274Z","submitted_at":"2023-06-14T03:28:51Z","title":"Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.08223","snapshot_observed_at":"2026-08-07T15:07:01.404609Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17145","last_updated":"2025-05-22T07:30:37Z","snapshot_observed_at":"2026-08-07T15:01:00.716989Z","submitted_at":"2025-05-22T07:30:37Z","title":"LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:01.404609Z"},"links":{"cited_paper":"/paper/2306.08223","citing_paper":"/paper/2505.17145"},"observation_digest":"sha256:27b21bd4f941fa48c575633d110af5c6ff7035860f9c1159bfe91280dabb53a5","observation_id":"21335cf8-5d49-4f0d-95b6-cb6397575c9d","resolution":{"observed_at":"2026-08-07T15:07:01.404609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08223","last_updated":"2023-06-14T03:28:51Z","snapshot_observed_at":"2026-08-07T05:04:09.258274Z","submitted_at":"2023-06-14T03:28:51Z","title":"Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.08223","snapshot_observed_at":"2026-08-07T05:50:35.882497Z","title":"In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Vol- ume 1: Long Papers), pages 1658–1677, Bangkok, Thailand","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06950","last_updated":"2025-06-07T23:19:27Z","snapshot_observed_at":"2026-08-07T05:43:14.041849Z","submitted_at":"2025-06-07T23:19:27Z","title":"What Makes a Good Natural Language Prompt?","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:50:35.882497Z"},"links":{"cited_paper":"/paper/2306.08223","citing_paper":"/paper/2506.06950"},"observation_digest":"sha256:fbfd37099423e4d009def425899768af13f5845e2073e3a9cf04da63568cc42c","observation_id":"b6cd725d-dfc7-40bd-9882-6502403b4226","resolution":{"observed_at":"2026-08-07T05:50:35.882497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08223","last_updated":"2023-06-14T03:28:51Z","snapshot_observed_at":"2026-08-07T05:04:09.258274Z","submitted_at":"2023-06-14T03:28:51Z","title":"Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization","version":1},"cited_work":{"arxiv_id":"2306.08223","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.08223","snapshot_observed_at":"2026-07-02T09:26:51.586577Z","title":"Protecting user privacy in remote conversational systems: A privacy-preserving framework based on text sanitization","venue":null,"work_id":"3edc7b6a-d03e-43c2-93e4-a570ab6ecf21","year":2023},"citing_paper":{"arxiv_id":"2606.03399","last_updated":"2026-06-02T09:40:56Z","snapshot_observed_at":"2026-08-05T05:02:37.466675Z","submitted_at":"2026-06-02T09:40:56Z","title":"Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T10:19:20.891082Z"},"links":{"cited_paper":"/paper/2306.08223","citing_paper":"/paper/2606.03399"},"observation_digest":"sha256:0a1b92a262fbe55da1400c8da0d7282f4198a0d703d922ab654c04bfe5a3cc22","observation_id":"59bc73fb-ddaa-4ddf-bc29-127a67dca06a","resolution":{"observed_at":"2026-07-02T03:06:30.152209Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08223","last_updated":"2023-06-14T03:28:51Z","snapshot_observed_at":"2026-08-07T05:04:09.258274Z","submitted_at":"2023-06-14T03:28:51Z","title":"Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization","version":1},"cited_work":{"arxiv_id":"2306.08223","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.08223","snapshot_observed_at":"2026-07-02T09:26:51.586577Z","title":"Protecting user privacy in remote conversational systems: A privacy-preserving framework based on text sanitization","venue":null,"work_id":"3edc7b6a-d03e-43c2-93e4-a570ab6ecf21","year":2023},"citing_paper":{"arxiv_id":"2606.04067","last_updated":"2026-06-02T14:28:28Z","snapshot_observed_at":"2026-07-06T23:44:14.261541Z","submitted_at":"2026-06-02T14:28:28Z","title":"Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-28T09:40:50.399436Z"},"links":{"cited_paper":"/paper/2306.08223","citing_paper":"/paper/2606.04067"},"observation_digest":"sha256:4491e4d4927cc6b2d46a015b659d8a6922661ddca4009c586e250217b3c7682e","observation_id":"d57dcf78-8ac4-41b5-8c66-1a42e403e862","resolution":{"observed_at":"2026-07-02T03:46:33.059082Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08223","last_updated":"2023-06-14T03:28:51Z","snapshot_observed_at":"2026-08-07T05:04:09.258274Z","submitted_at":"2023-06-14T03:28:51Z","title":"Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization","version":1},"cited_work":{"arxiv_id":"2306.08223","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.08223","snapshot_observed_at":"2026-07-02T09:26:51.586577Z","title":"Protecting user privacy in remote conversational systems: A privacy-preserving framework based on text sanitization","venue":null,"work_id":"3edc7b6a-d03e-43c2-93e4-a570ab6ecf21","year":2023},"citing_paper":{"arxiv_id":"2606.05004","last_updated":"2026-06-03T15:23:06Z","snapshot_observed_at":"2026-08-05T17:12:55.961654Z","submitted_at":"2026-06-03T15:23:06Z","title":"SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-06-28T05:29:47.894226Z"},"links":{"cited_paper":"/paper/2306.08223","citing_paper":"/paper/2606.05004"},"observation_digest":"sha256:cb2c51178e193bfe4f17bea2fe3346d06d979ced6215271b7eb53248a690dc27","observation_id":"6ec34365-5209-45dd-b373-b46984fa0e58","resolution":{"observed_at":"2026-07-02T09:26:51.587809Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2306.08223/citation-record","integrity":"/paper/2306.08223/integrity","json":"/paper/2306.08223/citation-record.json","paper":"/paper/2306.08223"},"outbound":[],"paper":{"arxiv_id":"2306.08223","last_updated":"2023-06-14T03:28:51Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-07T05:04:09.258274Z","submitted_at":"2023-06-14T03:28:51Z","title":"Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.08223."}