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Paper Citation Record · LEDGER

Adaptive Backtracking for Privacy Protection in Large Language Models

As of 19 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2508.06087.

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

pith.paper-citation-record.v1
2508.06087 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:04:08.805269Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0278d322-c79d-413a-9db8-826ae9fc58e5 · outbound

This paper cites Backtracking for Safety.

Adaptive Backtracking for Privacy Protection in Large Language Models Backtracking for Safety

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.396663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.396663Z digest=sha256:70e3877b0b5ef2c8c4e05b9261c90733e8dcbb13aefa170f260d3ef207a73c99

Observation da250c77-0d86-4bea-8b21-2d2620f84d6a · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Adaptive Backtracking for Privacy Protection in Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.473960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.473960Z digest=sha256:2d29c19436aca057fc85f291edcc4080dc6579be6f8b9df49beb713ce29314bf

Observation 8faf3874-2157-4a47-aca0-86dca923579b · outbound

This paper cites PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles.

Adaptive Backtracking for Privacy Protection in Large Language Models PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.583915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.583915Z digest=sha256:92d2e3929cc92870a8e297264392ad19309538fc6e37a30dac7935a7f8b718b0

Observation f81e63ee-310a-4b40-a780-cc2cec28daae · outbound

This paper cites A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Adaptive Backtracking for Privacy Protection in Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.645670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.645670Z digest=sha256:012eef534dc30b6e7c8f919ae560944fe2fdfca1147487c609bab4a0025ad55a

Observation 95f2059c-c55e-4f36-94e0-228703d9c9d0 · outbound

This paper cites https://huggingface.co/datasets/wangrongsheng/ HealthCareMagic-100k-en.

Adaptive Backtracking for Privacy Protection in Large Language Models https://huggingface.co/datasets/wangrongsheng/ HealthCareMagic-100k-en

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.705269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.705269Z digest=sha256:1817495e38b211f435fef7dd6e853213d3514633fb1800739d98ac807ccda001

Observation b4b3ca37-3d3d-45d1-a768-c0f24adb8b9c · outbound

This paper cites Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models.

Adaptive Backtracking for Privacy Protection in Large Language Models Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.805269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.805269Z digest=sha256:b45c080ba67a4bb44787ccde852513af25e3551d1c1b53654bc05b613198d2ff

Observation a8735f8f-9290-4d81-9f6b-e467003a1204 · outbound

This paper cites Correction with Backtracking Reduces Hallucination in Summarization.

Adaptive Backtracking for Privacy Protection in Large Language Models Correction with Backtracking Reduces Hallucination in Summarization

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T23:04:09.203345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:04:08.229819Z digest=sha256:15584e62723ade404ebc2912a217864a883e9fb1086d6255540fa076bd72758c

Observation b0aa6cb5-c1fd-4c7d-abd8-b154a883c3b1 · outbound

This paper cites Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems.

Adaptive Backtracking for Privacy Protection in Large Language Models Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.330954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.330954Z digest=sha256:69447f87b941f7ee6df905e5485afe45aad92407801fa977df88443fe628d57b

Observation b63e632c-9d3b-4fea-ae4f-da39196f9a4b · outbound

This paper cites PRIV-QA: Privacy-Preserving Question Answering for Cloud Large Language Models.

Adaptive Backtracking for Privacy Protection in Large Language Models PRIV-QA: Privacy-Preserving Question Answering for Cloud Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.178835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.178835Z digest=sha256:90287c451b4b4918847a3493f87eb10eb451fa42490abae9e1aadd65dd6bca40

Pith citing papers

No inbound Pith citation observations are available.