docs: self-contained reproduction — vendor frozen prereg + bibliography, add REPRODUCE.md
Make a clean clone reproducible without a sci-method checkout: - vendor the frozen pre-registration (docs/prereg/, pinned SHA-256 f22331a7… unchanged) and the 36-source bibliography into the repo - confirmatory_run.py resolves the in-repo prereg first, falling back to the canonical sci-method path; the SHA gate is identical (the pin, not the path, is the guarantee) - add REPRODUCE.md: tiered clone→env→seed→run→analyze checklist, honest about the isolated-engine containment rule and the 1.2 GB raw data that is not committed Defensive-measurement instrument; no change to measured behavior. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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# Bibliography — sor-consent
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Slug: `sor-consent` · Stage 01 · Compiled 2026-07-19 · Format per `_config/citations.md`
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36 sources. Every entry verified via ≥1 of: Semantic Scholar, arXiv, Crossref, DBLP, or full-PDF
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extraction. No entry asserted from title alone. Access date 2026-07-19 unless noted.
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---
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## A. Onion-routing foundations & nested-tunnel transport
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### [Chaum1981]
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Chaum, D. L. (1981). Untraceable Electronic Mail, Return Addresses, and Digital Pseudonyms.
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*Communications of the ACM*, 24(2), 84–90.
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DOI/URL: https://doi.org/10.1145/358549.358563
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Accessed: 2026-07-19 · Tier: 1
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### [Reed1997]
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Reed, M. G., Syverson, P. F., & Goldschlag, D. M. (1997). Anonymous Connections and Onion Routing.
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*Proc. 1997 IEEE Symposium on Security and Privacy*, 44–54.
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DOI/URL: https://doi.org/10.1109/secpri.1997.601314
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Accessed: 2026-07-19 · Tier: 1
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### [Dingledine2004]
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Dingledine, R., Mathewson, N., & Syverson, P. (2004). Tor: The Second-Generation Onion Router.
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*Proc. 13th USENIX Security Symposium*.
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DOI/URL: https://www.usenix.org/conference/13th-usenix-security-symposium/tor-second-generation-onion-router
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(DTIC report DOI: https://doi.org/10.21236/ada465464) · Accessed: 2026-07-19 · Tier: 1
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### [Egners2012]
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Egners, A., Gatzen, D., Panchenko, A., & Meyer, U. (2012). Introducing SOR: SSH-based Onion Routing.
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*Proc. 2012 26th Int'l Conf. on Advanced Information Networking and Applications Workshops (WAINA)*,
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280–286. [IEEE Xplore doc 6185136]
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DOI/URL: https://doi.org/10.1109/WAINA.2012.89
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Accessed: 2026-07-19 · Tier: 1 ← **direct prior art (SOR)**
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### [Honda2005]
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Honda, O., Ohsaki, H., Imase, M., Ishizuka, M., & Murayama, J. (2005). Understanding TCP over TCP:
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Effects of TCP Tunneling on End-to-End Throughput and Latency. *SPIE Proc. Vol. 6011* (Optics East).
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DOI/URL: https://doi.org/10.1117/12.630496
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Accessed: 2026-07-19 · Tier: 1
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### [Michel2023]
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Michel, F., & Bonaventure, O. (2023). Towards SSH3: How HTTP/3 Improves Secure Shells.
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*arXiv preprint* arXiv:2312.08396 [cs.NI]. (impl: github.com/francoismichel/ssh3)
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DOI/URL: https://arxiv.org/abs/2312.08396
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Accessed: 2026-07-19 · Tier: 2 (preprint)
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### [AlAzad2023]
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Al Azad, M. W., Zahan, H., Taki, S. U., & Mastorakis, S. (2023). DarkHorse: A UDP-based Framework to
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Improve the Latency of Tor Onion Services. *Proc. 48th IEEE Conf. on Local Computer Networks (LCN)*.
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DOI/URL: https://arxiv.org/abs/2307.02429
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Accessed: 2026-07-19 · Tier: 1 (conf.; arXiv copy)
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---
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## B. Traffic correlation / flow-linkability (RQ1)
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### [NasrBH18]
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Nasr, M., Bahramali, A., & Houmansadr, A. (2018). DeepCorr: Strong Flow Correlation Attacks on Tor
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Using Deep Learning. *Proc. 2018 ACM SIGSAC CCS*, 1962–1976.
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DOI/URL: https://doi.org/10.1145/3243734.3243824 (arXiv:1808.07285)
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Accessed: 2026-07-19 · Tier: 1
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### [OhYMH22]
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Oh, S. E., Yang, T., Mathews, N., Holland, J. K., Rahman, M. S., Hopper, N., & Wright, M. (2022).
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DeepCoFFEA: Improved Flow Correlation Attacks on Tor via Metric Learning and Amplification.
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*43rd IEEE Symposium on Security and Privacy (S&P)*, 1915–1932.
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DOI/URL: https://doi.org/10.1109/SP46214.2022.9833801
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Accessed: 2026-07-19 · Tier: 1
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### [SunEVLRCM15]
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Sun, Y., Edmundson, A., Vanbever, L., Li, O., Rexford, J., Chiang, M., & Mittal, P. (2015). RAPTOR:
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Routing Attacks on Privacy in Tor. *24th USENIX Security Symposium*, 271–286.
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DOI/URL: https://www.usenix.org/conference/usenixsecurity15/technical-sessions/presentation/sun (arXiv:1503.03940)
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Accessed: 2026-07-19 · Tier: 1
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### [JohnsonWJSS13]
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Johnson, A., Wacek, C., Jansen, R., Sherr, M., & Syverson, P. (2013). Users Get Routed: Traffic
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Correlation on Tor by Realistic Adversaries. *Proc. 2013 ACM SIGSAC CCS*, 337–348.
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DOI/URL: https://doi.org/10.1145/2508859.2516651
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Accessed: 2026-07-19 · Tier: 1
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### [SirinamIJW18]
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Sirinam, P., Imani, M., Juarez, M., & Wright, M. (2018). Deep Fingerprinting: Undermining Website
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Fingerprinting Defenses with Deep Learning. *Proc. 2018 ACM SIGSAC CCS*, 1928–1943.
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DOI/URL: https://doi.org/10.1145/3243734.3243768 (arXiv:1801.02265)
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Accessed: 2026-07-19 · Tier: 1
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### [RahmanSMGW20]
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Rahman, M. S., Sirinam, P., Mathews, N., Gangadhara, K. G., & Wright, M. (2020). Tik-Tok: The Utility
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of Packet Timing in Website Fingerprinting Attacks. *Proc. on Privacy Enhancing Technologies (PoPETs)*
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2020(3).
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DOI/URL: https://doi.org/10.2478/popets-2020-0043 (arXiv:1902.06421)
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Accessed: 2026-07-19 · Tier: 1
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### [MurdochD05]
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Murdoch, S. J., & Danezis, G. (2005). Low-Cost Traffic Analysis of Tor. *2005 IEEE Symposium on
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Security and Privacy*, 183–195.
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DOI/URL: https://doi.org/10.1109/SP.2005.12
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Accessed: 2026-07-19 · Tier: 1
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---
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## C. Anonymity-set / entropy metrics, decentralized directory, Sybil (RQ2)
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### [Serjantov2002]
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Serjantov, A., & Danezis, G. (2002). Towards an Information Theoretic Metric for Anonymity.
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*Privacy Enhancing Technologies (PET 2002)*, LNCS 2482, 41–53. Springer.
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DOI/URL: https://doi.org/10.1007/3-540-36467-6_4
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Accessed: 2026-07-19 · Tier: 1
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### [Diaz2002]
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Díaz, C., Seys, S., Claessens, J., & Preneel, B. (2002). Towards Measuring Anonymity.
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*Privacy Enhancing Technologies (PET 2002)*, LNCS 2482, 54–68. Springer.
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DOI/URL: https://doi.org/10.1007/3-540-36467-6_5
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Accessed: 2026-07-19 · Tier: 1
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### [Freedman2002]
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Freedman, M. J., & Morris, R. (2002). Tarzan: A Peer-to-Peer Anonymizing Network Layer.
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*Proc. 9th ACM CCS*, 193–206.
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DOI/URL: https://doi.org/10.1145/586110.586137
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Accessed: 2026-07-19 · Tier: 1
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### [Mittal2011]
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Mittal, P., Olumofin, F. G., Troncoso, C., Borisov, N., & Goldberg, I. (2011). PIR-Tor: Scalable
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Anonymous Communication Using Private Information Retrieval. *20th USENIX Security Symposium*.
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DOI/URL: https://www.usenix.org/conference/usenix-security-11/pir-tor-scalable-anonymous-communication-using-private-information
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Accessed: 2026-07-19 · Tier: 1
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### [Douceur2002]
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Douceur, J. R. (2002). The Sybil Attack. *1st Int'l Workshop on Peer-to-Peer Systems (IPTPS)*,
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LNCS 2429, 251–260. Springer.
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DOI/URL: https://doi.org/10.1007/3-540-45748-8_24
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Accessed: 2026-07-19 · Tier: 1
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### [Danezis2003]
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Danezis, G. (2003). Statistical Disclosure Attacks: Traffic Confirmation in Open Environments.
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*Security and Privacy in the Age of Uncertainty (IFIP SEC 2003)*. (companion: Danezis & Serjantov,
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*Information Hiding 2004*, LNCS 3200, 293–308, https://doi.org/10.1007/978-3-540-30114-1_21)
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DOI/URL: https://www.freehaven.net/anonbib/cache/statistical-disclosure.pdf
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Accessed: 2026-07-19 · Tier: 2
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### [Winter2016]
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Winter, P., Ensafi, R., Loesing, K., & Feamster, N. (2016). Identifying and Characterizing Sybils in
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the Tor Network. *25th USENIX Security Symposium*, 1169–1185.
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DOI/URL: https://www.usenix.org/conference/usenixsecurity16/technical-sessions/presentation/winter (arXiv:1602.07787)
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Accessed: 2026-07-19 · Tier: 1
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---
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## D. Path selection, churn, learning-driven routing (RQ3)
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### [Snader2008]
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Snader, R., & Borisov, N. (2008). A Tune-up for Tor: Improving Security and Performance in the Tor
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Network. *Network and Distributed System Security Symposium (NDSS)*.
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DOI/URL: https://www.ndss-symposium.org/ndss2008/a-tune-up-for-tor-improving-security-and-performance-in-the-tor-network/
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Accessed: 2026-07-19 · Tier: 1
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### [Akhoondi2012]
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Akhoondi, M., Yu, C., & Madhyastha, H. V. (2012). LASTor: A Low-Latency AS-Aware Tor Client.
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*2012 IEEE Symposium on Security and Privacy*, 476–490.
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DOI/URL: https://doi.org/10.1109/SP.2012.35
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Accessed: 2026-07-19 · Tier: 1
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### [Imani2017]
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Imani, M., Amirabadi, M., & Wright, M. (2017). The Evaluation of Circuit Selection Methods on Tor.
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*arXiv preprint* arXiv:1706.06457.
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DOI/URL: https://arxiv.org/abs/1706.06457
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Accessed: 2026-07-19 · Tier: 2 (preprint)
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### [Stutzbach2006]
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Stutzbach, D., & Rejaie, R. (2006). Understanding Churn in Peer-to-Peer Networks. *Proc. 6th ACM
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SIGCOMM Internet Measurement Conference (IMC)*, 189–202.
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DOI/URL: https://doi.org/10.1145/1177080.1177105
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Accessed: 2026-07-19 · Tier: 1 · NOTE: abstract publisher-gated; quantitative session-length figures
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cited from secondary literature, flagged as secondary in the review.
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### [HassanzadehNazarabadi2019]
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Hassanzadeh-Nazarabadi, Y., Küpçü, A., & Özkasap, Ö. (2019). Interlaced: Fully Decentralized Churn
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Stabilization for Skip Graph-Based DHTs. *arXiv:1903.07289* (peer-reviewed: IEEE IPDPS 2021).
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DOI/URL: https://arxiv.org/abs/1903.07289
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Accessed: 2026-07-19 · Tier: 2
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### [Barton2025]
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Barton, A., Walsh, T., Imani, M., Ming, J., & Wright, M. (2025). PredicTor: A Global, Machine Learning
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Approach to Tor Path Selection. *ACM Transactions on Privacy and Security*, 28(3), 1–31.
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DOI/URL: https://doi.org/10.1145/3723356
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Accessed: 2026-07-19 · Tier: 1
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### [Constantinides2026]
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Constantinides, N. (2026). A Traffic Analysis Attack Against Introduction Protocol and Onion Services.
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*arXiv:2602.23560*.
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DOI/URL: https://arxiv.org/abs/2602.23560
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Accessed: 2026-07-19 · Tier: 2 (very recent preprint; not load-bearing — corroborate before citing a claim on it)
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### [Abrol2024]
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Abrol, A., Mohan, P. M., & Truong-Huu, T. (2024). A Deep Reinforcement Learning Approach for Adaptive
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Traffic Routing in Next-gen Networks. *arXiv:2402.04515*.
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DOI/URL: https://arxiv.org/abs/2402.04515
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Accessed: 2026-07-19 · Tier: 2
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---
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## F. Friend-to-friend / social-trust / membership-concealing (G4 novelty neighbors)
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### [Clarke2000]
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Clarke, I., Sandberg, O., Wiley, B., & Hong, T. W. (2000/2001). Freenet: A Distributed Anonymous
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Information Storage and Retrieval System. *Designing Privacy Enhancing Technologies*, LNCS 2009.
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DOI/URL: https://doi.org/10.1007/3-540-44702-4_4
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Accessed: 2026-07-19 · Tier: 1
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### [Yu2006]
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Yu, H., Kaminsky, M., Gibbons, P. B., & Flaxman, A. (2006). SybilGuard: Defending Against Sybil
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Attacks via Social Networks. *Proc. ACM SIGCOMM 2006*, 267–278.
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DOI/URL: https://doi.org/10.1145/1159913.1159945
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Accessed: 2026-07-19 · Tier: 1
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### [Vasserman2009]
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Vasserman, E. Y., Jansen, R., Tyra, J., Hopper, N., & Kim, Y. (2009). Membership-Concealing Overlay
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Networks. *Proc. 16th ACM CCS*, 390–399.
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DOI/URL: https://doi.org/10.1145/1653662.1653709
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Accessed: 2026-07-19 · Tier: 1
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### [Danezis2010]
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Danezis, G., Díaz, C., Troncoso, C., & Laurie, B. (2010). Drac: An Architecture for Anonymous
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Low-Volume Communications. *Privacy Enhancing Technologies (PETS 2010)*, LNCS 6205, 202–219.
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DOI/URL: https://doi.org/10.1007/978-3-642-14527-8_12
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Accessed: 2026-07-19 · Tier: 1
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### [Mittal2012]
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Mittal, P., Wright, M., & Borisov, N. (2012). Pisces: Anonymous Communication Using Social Networks.
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*arXiv:1208.6326* [cs.CR] (NDSS 2013).
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DOI/URL: https://arxiv.org/abs/1208.6326
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Accessed: 2026-07-19 · Tier: 2
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### [Mittal2012b]
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Mittal, P., Caesar, M., & Borisov, N. (2012). X-Vine: Secure and Pseudonymous Routing in DHTs Using
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Social Networks. *NDSS 2012*.
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DOI/URL: https://arxiv.org/abs/1109.0971
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Accessed: 2026-07-19 · Tier: 1
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### [Zhou2011]
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Zhou, P., Luo, X., Chen, A., & Chang, R. K. C. (2011/2013). STor: Social Network based Anonymous
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Communication in Tor. *arXiv:1110.5794* [cs.CR].
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DOI/URL: https://arxiv.org/abs/1110.5794
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Accessed: 2026-07-19 · Tier: 2
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---
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## Provenance note
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Verification methods per source recorded in `sor-consent-search-log.md`. Two integrity flags carried
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forward: [Stutzbach2006] numbers are secondary-sourced; [Constantinides2026] is a Feb-2026 preprint to
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re-confirm before any load-bearing citation.
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