Publish Hugging Face Daily Papers run 20260928T200652000000Z-a44033fa
Browse files- coverage/hf-daily-papers-20260928T200652000000Z-a44033fa.json +33 -0
- data/observations/2026/09/28/hf-daily-papers-20260928T200652000000Z-a44033fa.jsonl +19 -0
- data/paper-links/2026/09/28/hf-daily-papers-20260928T200652000000Z-a44033fa.jsonl +19 -0
- runs/hf-daily-papers-20260928T200652000000Z-a44033fa.manifest.json +1 -0
- state/hf-daily-papers.json +1 -1
coverage/hf-daily-papers-20260928T200652000000Z-a44033fa.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"api_errors": [],
|
| 3 |
+
"detail_pending": 0,
|
| 4 |
+
"github_batch_budget": 4,
|
| 5 |
+
"github_batches": 1,
|
| 6 |
+
"github_resolution_truncated": false,
|
| 7 |
+
"historical_complete": false,
|
| 8 |
+
"historical_cursor": {
|
| 9 |
+
"date": "2023-03-16",
|
| 10 |
+
"page": 0,
|
| 11 |
+
"start_date": "2023-01-01"
|
| 12 |
+
},
|
| 13 |
+
"historical_pages": 17,
|
| 14 |
+
"historical_truncated": true,
|
| 15 |
+
"links_invalid": 0,
|
| 16 |
+
"links_valid": 38,
|
| 17 |
+
"page_budget": 20,
|
| 18 |
+
"pages": 20,
|
| 19 |
+
"paper_detail_budget": 400,
|
| 20 |
+
"paper_details_attempted": 29,
|
| 21 |
+
"paper_details_errors": 0,
|
| 22 |
+
"paper_details_with_url": 19,
|
| 23 |
+
"paper_details_without_url": 10,
|
| 24 |
+
"paper_page_size": 100,
|
| 25 |
+
"papers_returned": 29,
|
| 26 |
+
"papers_seen": 19,
|
| 27 |
+
"papers_without_github_url": 29,
|
| 28 |
+
"pending": 0,
|
| 29 |
+
"recent_pages": 3,
|
| 30 |
+
"recent_truncated": false,
|
| 31 |
+
"repositories_attempted": 19,
|
| 32 |
+
"repositories_unresolved": 0
|
| 33 |
+
}
|
data/observations/2026/09/28/hf-daily-papers-20260928T200652000000Z-a44033fa.jsonl
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2025-09-29T09:03:19Z","description":"A flexible framework for orchestrating deep learning models with Ray . It dynamically schedules and serves multiple models — from NLP (e.g., FastText) to CV (e.g., YOLO, SAM) — enabling scalable, distributed, and efficient multi-model inference.","discovery_source":"hf_daily_papers","domains":["computer-vision","natural-language-processing"],"fork":false,"forks":8,"github_id":1066271219,"homepage":"https://opendcai.github.io/RayOrch-doc/","language":"Python","license":"Apache-2.0","methods":[],"name":"OpenDCAI/RayOrch","novelty_signals":["description","github-topics","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.18703"],"pushed_at":"2026-09-28T14:06:23Z","query_ids":[],"queryless":true,"stars":17,"topics":["data-infra","inference","mllms","ray"],"updated_at":"2026-09-28T18:32:32Z","url":"https://github.com/OpenDCAI/RayOrch"}
|
| 2 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-01-14T15:53:34Z","description":"This repository contains the code for our NeurIPS 2026 paper-SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance🎉","discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1134354924,"homepage":"https://arxiv.org/abs/2609.30192","language":"Python","license":null,"methods":[],"name":"Susan571/SAGE-NeurIPS2026","novelty_signals":["description","paper-reference","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.30192"],"pushed_at":"2026-09-27T17:03:23Z","query_ids":[],"queryless":true,"stars":0,"topics":[],"updated_at":"2026-09-27T18:00:55Z","url":"https://github.com/Susan571/SAGE-NeurIPS2026"}
|
| 3 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-03-31T16:46:27Z","description":"Official public repository for CASHG","discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1197525047,"homepage":null,"language":"Python","license":null,"methods":[],"name":"jinsu0000/cashg-official","novelty_signals":["description","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2604.02103"],"pushed_at":"2026-07-25T00:32:06Z","query_ids":[],"queryless":true,"stars":6,"topics":[],"updated_at":"2026-09-07T13:48:01Z","url":"https://github.com/jinsu0000/cashg-official"}
|
| 4 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-05-19T08:10:48Z","description":"An open-taxonomy, Wikidata-grounded semantic knowledge graph over 142M source files. CodeGraph is an annotation layer, released as a derivative dataset keyed by Stack-Edu file identifiers. It ships identifiers and semantic labels — never file contents, repository names, paths, or author information.","discovery_source":"hf_daily_papers","domains":["graph-learning"],"fork":false,"forks":0,"github_id":1243302611,"homepage":null,"language":"Python","license":"NOASSERTION","methods":[],"name":"halykoss/CodeGraph","novelty_signals":["description","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.29474"],"pushed_at":"2026-08-14T16:02:49Z","query_ids":[],"queryless":true,"stars":0,"topics":[],"updated_at":"2026-08-22T13:18:14Z","url":"https://github.com/halykoss/CodeGraph"}
|
| 5 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-06-04T17:43:55Z","description":"ARGUS: evidence-grounded auditing of identification assumptions in difference-in-differences studies (ClimateNLP Workshop @ EMNLP 2026)","discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1259629722,"homepage":null,"language":"Python","license":"MIT","methods":[],"name":"yonghongzhang-io/ARGUS","novelty_signals":["description","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.30867"],"pushed_at":"2026-09-28T19:38:09Z","query_ids":[],"queryless":true,"stars":0,"topics":[],"updated_at":"2026-09-28T19:38:13Z","url":"https://github.com/yonghongzhang-io/ARGUS"}
|
| 6 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-06-29T06:46:00Z","description":null,"discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1283696644,"homepage":null,"language":"Python","license":"NOASSERTION","methods":[],"name":"E-Kovtun/tactile","novelty_signals":["license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.24385"],"pushed_at":"2026-09-28T07:53:57Z","query_ids":[],"queryless":true,"stars":12,"topics":[],"updated_at":"2026-09-28T12:09:10Z","url":"https://github.com/E-Kovtun/tactile"}
|
| 7 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-08-11T06:59:04Z","description":"Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching","discovery_source":"hf_daily_papers","domains":["natural-language-processing"],"fork":false,"forks":0,"github_id":1330600397,"homepage":"https://arxiv.org/abs/2608.09444","language":"Python","license":"MIT","methods":[],"name":"kschwethelm/continuous-depth-batching","novelty_signals":["description","github-topics","license-metadata","paper-reference","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2608.09444"],"pushed_at":"2026-09-25T15:02:37Z","query_ids":[],"queryless":true,"stars":3,"topics":["llm-serving","looped-language-models"],"updated_at":"2026-09-25T15:20:58Z","url":"https://github.com/kschwethelm/continuous-depth-batching"}
|
| 8 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-02T08:40:01Z","description":"VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models","discovery_source":"hf_daily_papers","domains":["computer-vision","multimodal-learning","robotics-and-control"],"fork":false,"forks":8,"github_id":1354530252,"homepage":"VLA-Precision.github.io","language":"Python","license":"Apache-2.0","methods":[],"name":"scy-v/VLA-Precision","novelty_signals":["description","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.04355"],"pushed_at":"2026-09-18T16:13:45Z","query_ids":[],"queryless":true,"stars":81,"topics":[],"updated_at":"2026-09-24T13:41:52Z","url":"https://github.com/scy-v/VLA-Precision"}
|
| 9 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-05T07:56:37Z","description":"SLCA-GRPO: Resolving Cross-Segment Credit Misattribution in Tool-Calling RL — segment-locked credit assignment for tool-calling RL, built on verl.","discovery_source":"hf_daily_papers","domains":["natural-language-processing","reinforcement-learning"],"fork":false,"forks":0,"github_id":1357958095,"homepage":"https://huggingface.co/datasets/YanZhanPKU/SLCA-GRPO-Datasets","language":"Python","license":"Apache-2.0","methods":["reinforcement-learning"],"name":"SLCA-GRPO/SLCA-GRPO","novelty_signals":["description","github-topics","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.29050"],"pushed_at":"2026-09-25T17:34:44Z","query_ids":[],"queryless":true,"stars":2,"topics":["agent","credit-assignment","function-calling","grpo","llm","llm-agent","nlp","pytorch","qwen","reinforcement-learning","rlhf","tool-calling","verl"],"updated_at":"2026-09-28T04:07:17Z","url":"https://github.com/SLCA-GRPO/SLCA-GRPO"}
|
| 10 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-07T10:12:43Z","description":"A Benchmark for Evaluating the Safety and Reliability of Language Models in Indian Retail Banking","discovery_source":"hf_daily_papers","domains":["natural-language-processing"],"fork":false,"forks":1,"github_id":1360069498,"homepage":null,"language":"Python","license":"MIT","methods":[],"name":"npci/IndicBankBench","novelty_signals":["description","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.29167"],"pushed_at":"2026-09-25T10:41:05Z","query_ids":[],"queryless":true,"stars":2,"topics":[],"updated_at":"2026-09-28T17:26:13Z","url":"https://github.com/npci/IndicBankBench"}
|
| 11 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-08T16:28:11Z","description":"Local, reproducible benchmark for timestamped video QA and proactive response models, with a unified streaming protocol, deterministic frame sampling, adapter interface, and traceable metrics.","discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1361637575,"homepage":null,"language":"Python","license":"MIT","methods":[],"name":"om-ai-lab/trace-bench","novelty_signals":["description","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.30670"],"pushed_at":"2026-09-28T07:54:18Z","query_ids":[],"queryless":true,"stars":6,"topics":[],"updated_at":"2026-09-28T08:09:40Z","url":"https://github.com/om-ai-lab/trace-bench"}
|
| 12 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-18T08:27:29Z","description":"FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance","discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":1,"github_id":1375590070,"homepage":"https://arxiv.org/abs/2609.25716","language":"Python","license":"Apache-2.0","methods":[],"name":"JHLew/FoMo","novelty_signals":["description","license-metadata","paper-reference","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.25716"],"pushed_at":"2026-09-22T04:08:34Z","query_ids":[],"queryless":true,"stars":10,"topics":[],"updated_at":"2026-09-28T14:34:43Z","url":"https://github.com/JHLew/FoMo"}
|
| 13 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-21T16:56:15Z","description":"Disaggregated quantization official codebase","discovery_source":"hf_daily_papers","domains":["machine-learning-systems","natural-language-processing"],"fork":false,"forks":0,"github_id":1380171258,"homepage":"https://arxiv.org/abs/2609.26333","language":"Jupyter Notebook","license":null,"methods":["quantization"],"name":"IST-DASLab/disaggregated-quantization","novelty_signals":["description","github-topics","paper-reference","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.26333"],"pushed_at":"2026-09-23T09:09:51Z","query_ids":[],"queryless":true,"stars":9,"topics":["llm","quantization","quantization-aware-training","vllm"],"updated_at":"2026-09-28T19:58:46Z","url":"https://github.com/IST-DASLab/disaggregated-quantization"}
|
| 14 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-23T00:58:28Z","description":"Very simple regulation can mitigate reconstruction-generation gap.","discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1382529814,"homepage":"https://hongyang-du.github.io/FuseReg/","language":"Python","license":"NOASSERTION","methods":[],"name":"Hongyang-Du/FuseReg","novelty_signals":["description","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.31620"],"pushed_at":"2026-09-28T18:08:12Z","query_ids":[],"queryless":true,"stars":12,"topics":[],"updated_at":"2026-09-28T06:41:06Z","url":"https://github.com/Hongyang-Du/FuseReg"}
|
| 15 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-23T15:14:25Z","description":"LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder","discovery_source":"hf_daily_papers","domains":["computer-vision"],"fork":false,"forks":0,"github_id":1383691154,"homepage":"https://arxiv.org/pdf/2609.28327","language":"Python","license":null,"methods":[],"name":"AndreiiArhire/LightMIS","novelty_signals":["description","paper-reference","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.28327"],"pushed_at":"2026-09-27T19:00:08Z","query_ids":[],"queryless":true,"stars":3,"topics":[],"updated_at":"2026-09-27T19:00:12Z","url":"https://github.com/AndreiiArhire/LightMIS"}
|
| 16 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-24T19:13:56Z","description":null,"discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1386225912,"homepage":null,"language":"Python","license":"MIT","methods":[],"name":"TURLEing/MOPD-Router","novelty_signals":["license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.30837"],"pushed_at":"2026-09-28T12:20:43Z","query_ids":[],"queryless":true,"stars":3,"topics":[],"updated_at":"2026-09-28T13:17:12Z","url":"https://github.com/TURLEing/MOPD-Router"}
|
| 17 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-25T08:48:57Z","description":"Morphometric Imitation: From Morphology and Contact Aware Hand Retargeting to Sim-to-Real Visuomotor Policy","discovery_source":"hf_daily_papers","domains":[],"fork":false,"forks":0,"github_id":1387132480,"homepage":"https://morphometricimitation.github.io/","language":null,"license":null,"methods":[],"name":"tsadja/morphometric","novelty_signals":["description","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.28660"],"pushed_at":"2026-09-25T08:49:02Z","query_ids":[],"queryless":true,"stars":11,"topics":[],"updated_at":"2026-09-28T16:50:59Z","url":"https://github.com/tsadja/morphometric"}
|
| 18 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-26T09:17:29Z","description":"hRoPE: hierarchical rotary positional encoding with separate paragraph/sentence/token channels, and a causal study of cross-paragraph attention compression — how deep attention compresses across paragraph boundaries, and whether that depth separates real paragraph structure from a density-matched random control.","discovery_source":"hf_daily_papers","domains":["interpretability-and-safety","natural-language-processing"],"fork":false,"forks":0,"github_id":1388954580,"homepage":null,"language":"Python","license":"MIT","methods":[],"name":"ShuyangenFrance/hrope","novelty_signals":["description","github-topics","license-metadata","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.23551"],"pushed_at":"2026-09-26T09:23:29Z","query_ids":[],"queryless":true,"stars":0,"topics":["attention","interpretability","language-modeling","mechanistic-interpretability","nlp","positional-encoding","pytorch","rope","rotary-position-embedding","transformers"],"updated_at":"2026-09-26T09:23:49Z","url":"https://github.com/ShuyangenFrance/hrope"}
|
| 19 |
+
{"archived":false,"candidate_status":"unknown","created_at":"2026-09-26T14:12:30Z","description":"First survey and analysis of Jev's application ecosystem. 首个 Jev 应用生态综述与分析论文","discovery_source":"hf_daily_papers","domains":["natural-language-processing"],"fork":false,"forks":0,"github_id":1389312186,"homepage":null,"language":null,"license":null,"methods":[],"name":"godxue1/Jev_in_the_wild","novelty_signals":["description","github-topics","repository-metadata"],"observed_at":"2026-09-28T20:06:56Z","paper_evidence":"unverified","paper_ids":["2609.30216"],"pushed_at":"2026-09-26T15:10:49Z","query_ids":[],"queryless":true,"stars":0,"topics":["ai-agents","decision-model","jev","llm","software-ecosystem","survey","system-one-model","typesafe"],"updated_at":"2026-09-26T15:45:46Z","url":"https://github.com/godxue1/Jev_in_the_wild"}
|
data/paper-links/2026/09/28/hf-daily-papers-20260928T200652000000Z-a44033fa.jsonl
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"github_id":1197525047,"github_url":"https://github.com/jinsu0000/cashg-official","link_status":"resolved","normalized_repo":"jinsu0000/cashg-official","paper_date":"2026-09-28","paper_id":"2604.02103","source_officiality":"unverified"}
|
| 2 |
+
{"github_id":1330600397,"github_url":"https://github.com/kschwethelm/continuous-depth-batching","link_status":"resolved","normalized_repo":"kschwethelm/continuous-depth-batching","paper_date":"2026-09-28","paper_id":"2608.09444","source_officiality":"unverified"}
|
| 3 |
+
{"github_id":1354530252,"github_url":"https://github.com/scy-v/VLA-Precision","link_status":"resolved","normalized_repo":"scy-v/VLA-Precision","paper_date":"2026-09-28","paper_id":"2609.04355","source_officiality":"unverified"}
|
| 4 |
+
{"github_id":1066271219,"github_url":"https://github.com/OpenDCAI/RayOrch","link_status":"resolved","normalized_repo":"OpenDCAI/RayOrch","paper_date":"2026-09-28","paper_id":"2609.18703","source_officiality":"unverified"}
|
| 5 |
+
{"github_id":1388954580,"github_url":"https://github.com/ShuyangenFrance/hrope","link_status":"resolved","normalized_repo":"ShuyangenFrance/hrope","paper_date":"2026-09-28","paper_id":"2609.23551","source_officiality":"unverified"}
|
| 6 |
+
{"github_id":1283696644,"github_url":"https://github.com/E-Kovtun/tactile","link_status":"resolved","normalized_repo":"E-Kovtun/tactile","paper_date":"2026-09-28","paper_id":"2609.24385","source_officiality":"unverified"}
|
| 7 |
+
{"github_id":1375590070,"github_url":"https://github.com/JHLew/FoMo","link_status":"resolved","normalized_repo":"JHLew/FoMo","paper_date":"2026-09-28","paper_id":"2609.25716","source_officiality":"unverified"}
|
| 8 |
+
{"github_id":1380171258,"github_url":"https://github.com/IST-DASLab/disaggregated-quantization","link_status":"resolved","normalized_repo":"IST-DASLab/disaggregated-quantization","paper_date":"2026-09-28","paper_id":"2609.26333","source_officiality":"unverified"}
|
| 9 |
+
{"github_id":1383691154,"github_url":"https://github.com/AndreiiArhire/LightMIS","link_status":"resolved","normalized_repo":"AndreiiArhire/LightMIS","paper_date":"2026-09-28","paper_id":"2609.28327","source_officiality":"unverified"}
|
| 10 |
+
{"github_id":1387132480,"github_url":"https://github.com/tsadja/morphometric","link_status":"resolved","normalized_repo":"tsadja/morphometric","paper_date":"2026-09-28","paper_id":"2609.28660","source_officiality":"unverified"}
|
| 11 |
+
{"github_id":1357958095,"github_url":"https://github.com/SLCA-GRPO/SLCA-GRPO","link_status":"resolved","normalized_repo":"SLCA-GRPO/SLCA-GRPO","paper_date":"2026-09-28","paper_id":"2609.29050","source_officiality":"unverified"}
|
| 12 |
+
{"github_id":1360069498,"github_url":"https://github.com/npci/IndicBankBench","link_status":"resolved","normalized_repo":"npci/IndicBankBench","paper_date":"2026-09-28","paper_id":"2609.29167","source_officiality":"unverified"}
|
| 13 |
+
{"github_id":1243302611,"github_url":"https://github.com/halykoss/CodeGraph","link_status":"resolved","normalized_repo":"halykoss/CodeGraph","paper_date":"2026-09-28","paper_id":"2609.29474","source_officiality":"unverified"}
|
| 14 |
+
{"github_id":1134354924,"github_url":"https://github.com/Susan571/SAGE-NeurIPS2026","link_status":"resolved","normalized_repo":"Susan571/SAGE-NeurIPS2026","paper_date":"2026-09-28","paper_id":"2609.30192","source_officiality":"unverified"}
|
| 15 |
+
{"github_id":1389312186,"github_url":"https://github.com/godxue1/Jev_in_the_wild","link_status":"resolved","normalized_repo":"godxue1/Jev_in_the_wild","paper_date":"2026-09-28","paper_id":"2609.30216","source_officiality":"unverified"}
|
| 16 |
+
{"github_id":1361637575,"github_url":"https://github.com/om-ai-lab/trace-bench","link_status":"resolved","normalized_repo":"om-ai-lab/trace-bench","paper_date":"2026-09-28","paper_id":"2609.30670","source_officiality":"unverified"}
|
| 17 |
+
{"github_id":1386225912,"github_url":"https://github.com/TURLEing/MOPD-Router","link_status":"resolved","normalized_repo":"TURLEing/MOPD-Router","paper_date":"2026-09-28","paper_id":"2609.30837","source_officiality":"unverified"}
|
| 18 |
+
{"github_id":1259629722,"github_url":"https://github.com/yonghongzhang-io/ARGUS","link_status":"resolved","normalized_repo":"yonghongzhang-io/ARGUS","paper_date":"2026-09-28","paper_id":"2609.30867","source_officiality":"unverified"}
|
| 19 |
+
{"github_id":1382529814,"github_url":"https://github.com/Hongyang-Du/FuseReg","link_status":"resolved","normalized_repo":"Hongyang-Du/FuseReg","paper_date":"2026-09-28","paper_id":"2609.31620","source_officiality":"unverified"}
|
runs/hf-daily-papers-20260928T200652000000Z-a44033fa.manifest.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"format":"gh_ml_hf_daily_papers_run","parent_revision":"530971da8b027407ca09c823cbc639f38de9e3ab","payloads":{"coverage/hf-daily-papers-20260928T200652000000Z-a44033fa.json":"31bf975d545da3ed36ad6c4537bd71bb9ac3e6a0ba92ae65ef395626e748cc7b","data/observations/2026/09/28/hf-daily-papers-20260928T200652000000Z-a44033fa.jsonl":"8a468b6bf6c4a85e34e05292d4b7b68b1676c246c2d03c8a20da607a1a3bda6d","data/paper-links/2026/09/28/hf-daily-papers-20260928T200652000000Z-a44033fa.jsonl":"9dc70d7bbebe68bf151d49949c416403e6aecc94c2974fc7bd02706d7dbad630","state/hf-daily-papers.json":"b10ea93035e3e62e4d62d18ee21c4658356f420ddf3446067b8cdbfd1a5d067d"},"run_id":"20260928T200652000000Z-a44033fa","version":1}
|
state/hf-daily-papers.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"checkpoint":{"detail_after":{"paper_date":"2026-09-
|
|
|
|
| 1 |
+
{"checkpoint":{"detail_after":{"paper_date":"2026-09-28","paper_id":"2609.31620"},"detail_checked_recent":{"2601.06352":"2026-09-28","2601.06362":"2026-09-28","2604.02103":"2026-09-28","2608.09444":"2026-09-28","2609.04355":"2026-09-28","2609.18703":"2026-09-28","2609.22682":"2026-09-26","2609.22947":"2026-09-26","2609.23038":"2026-09-26","2609.23087":"2026-09-27","2609.23407":"2026-09-27","2609.23551":"2026-09-28","2609.23784":"2026-09-26","2609.24308":"2026-09-26","2609.24385":"2026-09-28","2609.24815":"2026-09-26","2609.25187":"2026-09-26","2609.25716":"2026-09-28","2609.25853":"2026-09-26","2609.25963":"2026-09-26","2609.26333":"2026-09-28","2609.26355":"2026-09-26","2609.26489":"2026-09-26","2609.26634":"2026-09-26","2609.26637":"2026-09-26","2609.26780":"2026-09-26","2609.27158":"2026-09-26","2609.27284":"2026-09-26","2609.27308":"2026-09-26","2609.27321":"2026-09-26","2609.27334":"2026-09-26","2609.27490":"2026-09-26","2609.27656":"2026-09-26","2609.27657":"2026-09-26","2609.27891":"2026-09-26","2609.27901":"2026-09-26","2609.27980":"2026-09-26","2609.28256":"2026-09-26","2609.28327":"2026-09-28","2609.28416":"2026-09-27","2609.28466":"2026-09-26","2609.28470":"2026-09-26","2609.28473":"2026-09-26","2609.28603":"2026-09-27","2609.28654":"2026-09-27","2609.28660":"2026-09-28","2609.28811":"2026-09-27","2609.28923":"2026-09-27","2609.29028":"2026-09-27","2609.29050":"2026-09-28","2609.29167":"2026-09-28","2609.29362":"2026-09-27","2609.29421":"2026-09-27","2609.29429":"2026-09-27","2609.29444":"2026-09-27","2609.29474":"2026-09-28","2609.29647":"2026-09-27","2609.29816":"2026-09-27","2609.29837":"2026-09-27","2609.29845":"2026-09-27","2609.29892":"2026-09-27","2609.29964":"2026-09-27","2609.30077":"2026-09-27","2609.30192":"2026-09-28","2609.30199":"2026-09-27","2609.30216":"2026-09-28","2609.30221":"2026-09-27","2609.30222":"2026-09-28","2609.30233":"2026-09-27","2609.30670":"2026-09-28","2609.30837":"2026-09-28","2609.30867":"2026-09-28","2609.31002":"2026-09-28","2609.31093":"2026-09-28","2609.31199":"2026-09-28","2609.31291":"2026-09-28","2609.31394":"2026-09-28","2609.31473":"2026-09-28","2609.31590":"2026-09-28","2609.31620":"2026-09-28"},"detail_pending":[],"historical":{"date":"2023-03-16","page":0,"start_date":"2023-01-01"},"pending":[],"resolution_after":{"normalized_repo":"Hongyang-Du/FuseReg","paper_date":"2026-09-28","paper_id":"2609.31620"},"updated_at":"2026-09-28T20:06:56Z","version":2},"version":2}
|