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apply_overrides

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

apply_overrides appears in the code Syntology harvested for 8 papers, as 17 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 5 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 apply_overrides 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 9 of the 17 distinct code bodies named apply_overrides; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
9ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 17 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

8 papers shown of 8, newest first; 17 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 8 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
TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction added by Syntology 2026-09 (from id) MMartinelli-hub/GBIE26_TWIX/run_baseline_entity_linker.py 23b85f538a0ebc9d unverified no licence file found · pointer only
TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction added by Syntology 2026-09 (from id) MMartinelli-hub/GBIE26_TWIX/run_entity_linker.py 343ad3f08c80f8cc unverified no licence file found · pointer only
TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction added by Syntology 2026-09 (from id) MMartinelli-hub/GBIE26_TWIX/run_entity_recognizer.py 00a142e28c43a80f unverified no licence file found · pointer only
TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction added by Syntology 2026-09 (from id) MMartinelli-hub/GBIE26_TWIX/run_ner_ensemble.py a34a593a48387737 unverified no licence file found · pointer only
TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction added by Syntology 2026-09 (from id) MMartinelli-hub/GBIE26_TWIX/run_relation_extractor.py dcf2e724922d6e1b unverified no licence file found · pointer only
TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction added by Syntology 2026-09 (from id) MMartinelli-hub/GBIE26_TWIX/run_term_classifier.py c17d67ff90b6bab6 unverified no licence file found · pointer only
SwarmBench: Can Large Language Models Act as Agent Swarm Orchestrators? added by Syntology 2026-08 (from id) ying1973/SwarmBench/swarm-bench/benchmark/config.py 1a71c59407276e4b unverified no licence file found · pointer only
CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation Platform added by Syntology 2026-07 (from id) gefgu/citybehavex/citybehavex/config/io.py 3b8446866b6787bb ran AGPL-3.0 (copyleft) · pointer only
Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning added by Syntology 2026-06 (from id) Richard-zrx/ADS/src/cluster_embeddings.py 189c9ff78bd2b468 ran Apache-2.0 (permissive)
Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning added by Syntology 2026-06 (from id) Richard-zrx/ADS/src/compute_difficulty.py 935fcc3e4436189a ran Apache-2.0 (permissive)
Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning added by Syntology 2026-06 (from id) Richard-zrx/ADS/src/export_cluster_examples.py 78858b5a31e7c77f ran Apache-2.0 (permissive)
Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning added by Syntology 2026-06 (from id) Richard-zrx/ADS/src/extract_embeddings.py b6fa95adbe2428b5 ran Apache-2.0 (permissive)
Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning added by Syntology 2026-06 (from id) Richard-zrx/ADS/src/inspect_embeddings.py 47c1dc9fe9a63cf6 ran Apache-2.0 (permissive)
DiRecT: Safe Diffusion-Based Planning via Receding-Horizon Denoising added by Syntology 2026-06 (from id) azizanlab/DiRecT/maze2d/config.py 67e0bf797f8c5a5e ran MIT (permissive)
Domain Adaptation and Reasoning Frameworks in Language Models: A Controlled Experiment with Historical Cosmology added by Syntology 2026-05 (from id) fdeberna/chat-ptolemaic/pipeline/config_utils.py a8685c36310c970c ran no licence file found · pointer only
FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics added by Syntology 2026-05 (from id) qrzou/FML-bench/run_agent_benchmark.py c1dad570c33f51c5 ran Apache-2.0 (permissive)
Flow Matching Calibration for Simulation-Based Inference under Model Misspecification added by Syntology 2025-09 (from id) pruhlmann/FMCPE/benchmark/common.py 5a10e7800bbc9e4d unverified MIT (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".

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