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aggregate

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

aggregate appears in the code Syntology harvested for 35 papers, as 31 distinct code bodies found in 35 places (a place is one code body under one paper). At least one of them ran in 22 of the papers; 4 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 aggregate 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 18 of the 31 distinct code bodies named aggregate; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
5ran · our draft was wrong
0ran · fixture could not drive it
13ran
13unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 16 of the 35 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

35 papers shown of 35, newest first; 35 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 14 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. 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
SLIDEFORGE: An LLM Agent for Controllable Editing of Slides as Structured Artifacts added by Syntology 2026-09 (from id) UIUC-MONET/SLIDEFORGE/decomposition/usage_report.py 13b4b017794fcb7a unverified MIT (permissive)
Pooling and Drift in Delayed Bandits added by Syntology 2026-09 (from id) melikabaghi/state-exp3/code/data_driven_grouping.py 5a0afb39de3d2007 unverified MIT (permissive)
Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses added by Syntology 2026-08 (from id) Gen-Verse/Recuris/src/recuris/fingerprint.py bc6e12863e45a0d8 ran Apache-2.0 (permissive)
Decorrelation Is Not Complementarity: Skill, Not Lineage, Governs Trusted-Monitor Ensembles added by Syntology 2026-08 (from id) anik-jha/challenger-panels/src/panel.py 505bc8d187a78387 ran MIT (permissive)
Adversarial Attacks in Multi-Agent LLM Pipelines: Unveiling Structural Vulnerabilities in Agentic AI Architectures added by Syntology 2026-08 (from id) SPaDeS-Lab/adversarial-llm-pipeline/evaluation/metrics.py d7174b60320702f5 ran no licence file found · pointer only
Do Current Retrievers Cover All the Evidence? A Controlled Study of Conjunctive Cross-Page Retrieval added by Syntology 2026-07 (from id) sunggukcha/n_clue/code/nclue_decompose_dense.py 728037e175779011 ran licence not identified · pointer only
CANNs: A Toolkit for Research on Continuous Attractor Neural Networks added by Syntology 2026-06 (from id) Routhleck/canns-lib/benchmarks/ripser/analysis_results.py 419b2fa83115ff7a ran Apache-2.0 (permissive)
Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators added by Syntology 2026-05 (from id) ALRhub/mango/src/mango/simulator/gnn/egno/egno.py c13557c4c4b42aff ran no licence file found · pointer only
ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks added by Syntology 2026-05 (from id) tuhinsahai/ISOMORPH/analysis/bullwhip_analysis.py 1be08f6fc669dd12 ran fingerprinted MIT (permissive)
SMART: A Spectral Transfer Approach to Multi-Task Learning added by Syntology 2026-04 (from id) boxinz17/smart/simulation/visualize_simulation.py 0081a5c9782d6868 unverified MIT (permissive)
PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation added by Syntology 2026-03 (from id) chili-lab/PRISM/prism_code/aggregate_lib.py 521cdb0c455d1b35 unverified no licence file found · pointer only
Evaluation of Vision-LLMs in Surveillance Video added by Syntology 2025-10 (from id) pascalbenschopTU/VLLM_AnomalyRecognition/models/aggregate_and_plot_synthetic.py 75dcdcd29a42d46f unverified Apache-2.0 (permissive)
Base Models Know How to Reason, Thinking Models Learn When added by Syntology 8 Oct 2025 cvenhoff/thinking-llms-interp/hybrid/aggregate_samples_final.py f057a2fcae4eb4e3 unverified no licence file found · pointer only
PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling added by Syntology 2025-10 (from id) Icarus1411/PAINET/model/PAINET_md17.py c13557c4c4b42aff ran no licence file found · pointer only
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning 16 Jan 2025 KEAML-JLU/MI-DELIGHT/model.py df0dbeb2fb94a5f7 ran · our draft was wrong no licence file found · pointer only
Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking 2024-11 (from id) saveski-lab/supernotes/supernotes/aggregator.py aeb810e59fc176ec unverified CC-BY-4.0 · pointer only
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification? 14 Oct 2024 BrownFortress/LLMs-TRC/XAI_analysis/utils/attribution_scores.py 4e80b769da0a37b8 ran MIT (permissive)
Gradient Routing: Masking Gradients to Localize Computation in Neural Networks 6 Oct 2024 kxcloud/gradient-routing/projects/mnist/analyze_runs_for_paper_main.py 3fb7c31e0071ab22 ran · our draft was wrong no licence file found · pointer only
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation 31 Jul 2024 vujas-eteph/lazyxmem/model/aggregate.py add9d1273a2b1e30 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction 22 May 2024 TingchenFu/ACL24-ExpertFusion/code/merge_utils.py beaf421b457284c5 ran no licence file found · pointer only
Equivariant Graph Neural Operator for Modeling 3D Dynamics 19 Jan 2024 minkaixu/egno/model/basic.py c13557c4c4b42aff ran MIT (permissive)
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models 31 Oct 2023 yjiangcm/followbench/aggregator.py 8d6ef831d2b39bd8 ran Apache-2.0 (permissive)
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization 23 Oct 2023 llm-eff/FedPepTAO/decoder-only-gpt2/evaluations.py 4a1d825b123f1168 ran no licence file found · pointer only
Track Anything: Segment Anything Meets Videos 24 Apr 2023 gaomingqi/track-anything/tracker/model/aggregate.py db0ab43be2a00330 ran · our draft was wrong fingerprinted MIT (permissive)
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles 3 Apr 2023 RingBDStack/SR-MARL/src/clusters/structural_entropy.py bb1a5a3343993a03 ran · our draft was wrong no licence file found · pointer only
Robust Collaborative Learning with Linear Gradient Overhead 22 Sep 2022 lpd-epfl/robust-collaborative-learning/aggregators/cenna.py aab536b772e8870b unverified MIT (permissive)
Motif-based Graph Representation Learning with Application to Chemical Molecules 9 Aug 2022 yifeiwang15/motifconv/graph_match/run_gm.py cfca0c1bd45d6400 unverified MIT (permissive)
Per-Clip Video Object Segmentation 3 Aug 2022 pkyong95/PCVOS/inference_core_yv.py e7f0c41c3a51a187 ran · our draft was wrong fingerprinted GPL-3.0 (copyleft) · pointer only
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model 14 Jul 2022 tianyuan168326/videosemanticcompression-pytorch/XMem/model/network.py db0ab43be2a00330 ran · our draft was wrong fingerprinted no licence file found · pointer only
Equivariant Graph Hierarchy-Based Neural Networks 22 Feb 2022 hanjq17/eghn/model/basic.py c13557c4c4b42aff ran MIT (permissive)
Learning Proximal Operators to Discover Multiple Optima 28 Jan 2022 lingxiaoli94/pol/pol/utils/loss_aggregation.py 063a0fdf435680a0 unverified MIT (permissive)
Thinking Like Transformers 13 Jun 2021 princeton-nlp/transformerprograms/programs/rasp/double_hist/double_hist.py fec1c122bc1ffea7 ran no licence file found · pointer only
Graph Partition Neural Networks for Semi-Supervised Classification 16 Mar 2018 Microsoft/graph-partition-neural-network-samples/gpnn/model/model_helper.py b4d3f127a57bf846 unverified MIT (permissive)
arXiv:aaai_29835 KEAML-JLU/GIFT/utils.py 61922e31cc76a05c unverified MIT (permissive)
arXiv:2023.findings-acl.586 THU-KEG/OmniEvent/OmniEvent/aggregation/aggregation.py c322a7844c5cd041 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".

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