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get_output

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

get_output appears in the code Syntology harvested for 19 papers, as 15 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 1 of the code bodies carries 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 get_output 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 6 of the 15 distinct code bodies named get_output; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
4ran
9unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 21 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

19 papers shown of 19, newest first; 21 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 2 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
Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation added by Syntology 2026-04 (from id) FanZT6/OptimSyn/training/influence/collect_grad_reps.py 808c09bce5840bb9 unverified no licence file found · pointer only
The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs added by Syntology 2026-02 (from id) princeton-nlp/LESS/less/data_selection/collect_grad_reps.py 808c09bce5840bb9 unverified MIT (permissive)
Efficient Reasoning for LLMs through Speculative Chain-of-Thought 27 Apr 2025 jikai0wang/speculative_cot/speculative_cot.py 1bd40ab615e471b3 unverified no licence file found · pointer only
Selective Task Group Updates for Multi-Task Optimization 17 Feb 2025 wooseong97/sel-update-mtl/sel-update-mtl/utils/train_utils.py a64ab65acb301c2d ran · fixture could not drive it MIT (permissive)
ProSec: Fortifying Code LLMs with Proactive Security Alignment 19 Nov 2024 PurCL/ProSec/influence_score/collect_grad_reps.py 808c09bce5840bb9 unverified no licence file found · pointer only
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning 1 Oct 2024 NickyFot/HitchhikersGuide/train_utils.py 49df55f4e08b2e03 unverified Apache-2.0 (permissive)
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data 21 Jul 2024 2003pro/tagcos/data_selection/collect_grad_reps.py 808c09bce5840bb9 unverified no licence file found · pointer only
MBIAS: Mitigating Bias in Large Language Models While Retaining Context 18 May 2024 shainarazavi/mbias/mbias/batch_inference.py 6d2dc89f4906735d ran fingerprinted no licence file found · pointer only
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding 1 Mar 2024 BillChan226/HALC/models/preprocessor.py 8122965ad6131653 unverified MIT (permissive)
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding 1 Mar 2024 BillChan226/HALC/models/refiner.py 3cc2c9efff7e5609 unverified MIT (permissive)
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step 25 Feb 2024 floridsleeves/llmdebugger/programming/executors/py_executor.py a29cddda11d00bfe ran Apache-2.0 (permissive)
LESS: Selecting Influential Data for Targeted Instruction Tuning 6 Feb 2024 princeton-nlp/less/less/data_selection/collect_grad_reps.py 808c09bce5840bb9 unverified MIT (permissive)
Woodpecker: Hallucination Correction for Multimodal Large Language Models 24 Oct 2023 bradyfu/woodpecker/models/preprocessor.py 8122965ad6131653 unverified no licence file found · pointer only
Woodpecker: Hallucination Correction for Multimodal Large Language Models 24 Oct 2023 bradyfu/woodpecker/models/refiner.py 3cc2c9efff7e5609 unverified no licence file found · pointer only
Character-LLM: A Trainable Agent for Role-Playing 16 Oct 2023 choosewhatulike/trainable-agents/api_call_util.py 5390fac97c1ea60e ran Apache-2.0 (permissive)
Won't Get Fooled Again: Answering Questions with False Premises 5 Jul 2023 thunlp/FalseQA/src/utils.py ff87150644a05b43 ran no licence file found · pointer only
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks 26 Feb 2023 mims-harvard/gnndelete/delete_gnn.py b2407dc1099e083e unverified MIT (permissive)
MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray 2 Feb 2022 abrilcf/mednerf/graf-main/render_xray_G.py fe5e56bffc7fef7b ran · honoured contract MIT (permissive)
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning 4 Jun 2019 v-mipeng/LexiconNER/final_evl.py 779dc0b23e846462 unverified Apache-2.0 (permissive)
arXiv:aaai_32174 VectorInstitute/GenerativeSSL/data_generation/icgan/predict.py 567e5e16e8b1da99 unverified MIT (permissive)
arXiv:2021.acl-long.9 GaryYufei/ACL2021MF/utils.py 38d651a46ae56a74 unverified 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