RSS/parameter configuration UI, feedparser migration, effective-params logging

Fix readme

fix: copy tsconfig.json into Node build stage (required for CRA TypeScript resolution)

fix: npm ci --legacy-peer-deps for Node 20 peer dep conflicts

Fix multi-stage Docker build for HF Spaces

Include frontend build for HF Spaces

Fix readme

HuggingFace Spaces deploy + Neo4j Aura support

Refactor + fixes

Fix readme

Set FAKE_THRESHOLD=0.75, benchmark results P=0.909 R=0.227 F1=0.364 Acc=0.650 FP=1 FN=34

integrate coverage_factor into TCS formula (0.85+0.15*cov), unify severity labels, upload.py error handling, dead code cleanup, TextHighlight regex fix, InconsistencyList TYPE_LABELS complete, Swagger description updated

Reports

threshold sweep + TF-IDF/RF/SVM baselines, event-date KG +64 canonical events (1169->1233 facts), V8 action-before-office check, _check_event_date() in external.py

Fix

DATE_TOLERANCE 400->200, cross-entity overlap check with same_role_category filter, Reference KG +22 manual facts (Nixon/Ford/LBJ/JFK/Truman/Blair/Thatcher/Starmer/Macron/Tusk + legislation) — F1 0.345->0.393, Recall 0.227->0.273, Sep +0.129->+0.151

RSS verification panel, benchmark split (100/150), remove Ollama/REBEL from frontend, sync Qwen3 labels

Some fix

Replace Ollama/llama3 with spacy-llm + Qwen3-1.7B (Pipeline B + Explainer), archive REBEL (F1=0.038), fix TCS n_claims=0 score, add ISOT/RAGuard eval scripts, update start.sh and requirements

RSS feeds updated + Reference KG 517->1161 facts + entity_label fix + Neo4j reconnect

RSS Stream C3b + HITL endpoint + frontend toggles

Refactor

Pipeline C REBEL-large extractor + orchestrator integration

Testes + refactor

Testes + refactor

New translation

Wikidata inverse, Neo4j cache decoupled, auto-title, cross-article button, batch checkboxes, threshold 0.55

New Readme

Add new articles and script for liar dataset

Entity subject matching threshold + V5 HOLDS_POSITION only + KG tolerance 400d

Extended benchmark 25 articles + run_evaluation.py with LIAR/FakeNewsNet/boxplot

Persist article title, source and analyzed_at in Article node

Translate all comments, logs and docstrings to English across 22 backend files

Refactor and eliminate non-relevant files

Manual benchmark 5 articles + run_benchmark.py with Precision/Recall/F1

Display LLM explanation in AnalyzeTab (Psychology icon, Alert info)

Suite pytest 33 teste C1→C4 + orchestrator (mock Ollama/Neo4j)

LLMExplainer llama3 cu fallback static + integrare orchestrator

Neo4j cache Wikidata 3-level + cross-article in orchestrator

Refactor

Add internal validation rules and expand external Wikidata checks

Enhance spacy facts coverage and refine llm logging

Migrate to llama3 and enhance temporal extraction prompt

Move dependencies.py up in folder

Add neo4j and cross article verification

QLoRA fine-tuning infrastructure — prepare, train, export, register

Few-shot examples in LLM prompt — improved extraction quality

Comprehensive README with architecture, models, quickstart

Frontend cleanup

Externalize model config to .env, auto-install spaCy in startup scripts