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extract_anthropic_prompt

Syntologyentry name in harvested coderead from the graph 2026-09-24

extract_anthropic_prompt appears in the code Syntology harvested for 16 papers, as 1 distinct code body found in 16 places (a place is one code body under one paper). At least one of them ran in 16 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named extract_anthropic_prompt do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 1 distinct code body named extract_anthropic_prompt; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
0ran
0unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 16 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

16 papers shown of 16, newest first; 16 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Differentially Private Preference Data Synthesis for Large Language Model Alignment added by Syntology 2026-05 (from id) gfengyu/Differentially-Private-Preference-Data-Synthesis/DPPrefSyn_HH.py 12f6803880f9b17e ran · our draft was wrong no licence file found · pointer only
On Extending Direct Preference Optimization to Accommodate Ties 25 Sep 2024 eric-mitchell/direct-preference-optimization/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
Learning Dynamics of LLM Finetuning 15 Jul 2024 joshua-ren/learning_dynamics_llm/src/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
$β$-DPO: Direct Preference Optimization with Dynamic $β$ 11 Jul 2024 junkangwu/beta-DPO/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong no licence file found · pointer only
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization 10 Jul 2024 junkangwu/dr_dpo/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong no licence file found · pointer only
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs 24 Jun 2024 kiddyboots216/lottery-ticket-adaptation/rlaif/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
Group Robust Preference Optimization in Reward-free RLHF 30 May 2024 rsshyam/Group-robust-preference-optimization/src/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment 28 May 2024 jasonjiaxiangli/reward_learning_sft/src/generate.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
Token-level Direct Preference Optimization 18 Apr 2024 vance0124/token-level-direct-preference-optimization/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
A Critical Evaluation of AI Feedback for Aligning Large Language Models 19 Feb 2024 architsharma97/dpo-rlaif/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
Direct Preference Optimization with an Offset 16 Feb 2024 rycolab/odpo/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)
Can AI Assistants Know What They Don't Know? 24 Jan 2024 openmoss/say-i-dont-know/src/dpo/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong no licence file found · pointer only
Sample Efficient Preference Alignment in LLMs via Active Exploration 1 Dec 2023 belakaria/active-llm-alignment/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong MIT (permissive)
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding 14 Nov 2023 bruceyg/dpo-mbr/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong MIT (permissive)
Interpreting Learned Feedback Patterns in Large Language Models 12 Oct 2023 apartresearch/Interpreting-Reward-Models/reward_analyzer/data_constructions/anthropic_hh_rlhf.py 12f6803880f9b17e ran · our draft was wrong MIT (permissive)
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints 28 Sep 2023 alecwangcq/f-divergence-dpo/preference_datasets.py 12f6803880f9b17e ran · our draft was wrong Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections