{"schema_version":"onlylabs.public_signal.v1","title":"LG AI Research (EXAONE) Model: LGAI-EXAONE/EXAONE-Path-2.0","description":"LG AI Research (EXAONE) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f","json_url":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f/signal.json","generated_at":"2026-06-11T02:50:39.24014+00:00","org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/lg-ai","dossier_json_url":"https://onlylabs.fyi/labs/lg-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f","signal_json":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f/signal.json","source":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0","lab_dossier":"https://onlylabs.fyi/labs/lg-ai","lab_dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/lg-ai","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"LG AI Research (EXAONE) published LGAI-EXAONE/EXAONE-Path-2.0. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license other · 50 HF downloads · Low traction on HF downloads, niche release. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0","source_host":"huggingface.co","occurred_at":"2025-07-07T10:39:02+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"LG AI Research (EXAONE)","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"huggingface.co","source":"source"},{"label":"License","value":"other","source":"model"},{"label":"Downloads","value":"50","source":"traction"},{"label":"Likes","value":"18","source":"traction"},{"label":"Notability","value":"Low traction on HF downloads, niche release","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0/raw/main/README.md"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T02:50:39.24014+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f/signal.json","dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","evidence_focus":["model card","release note","version or tag","pipeline tag","license","downloads, likes, stars, and linked papers"],"extraction_questions":["What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Which launches create new eval, data, infra, or deployment needs?","Which shipped signals are missing captured page context?"],"signal_questions":["What shipped in this model artifact, and what evidence describes its capability, license, or traction?","What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Do the 6 related model signals show a repeated pattern?"],"output_fields":["org","release_type","artifact","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f/signal.json","required":true},{"label":"source","url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/lg-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze LG AI Research (EXAONE)'s model signal \"LGAI-EXAONE/EXAONE-Path-2.0\" for neolab strategy."},"semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published model","object":"LGAI-EXAONE/EXAONE-Path-2.0","text":"LG AI Research (EXAONE) published model LGAI-EXAONE/EXAONE-Path-2.0."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"is classified as","object":"model signal","text":"LGAI-EXAONE/EXAONE-Path-2.0 is classified as model signal."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"belongs to","object":"releases desk","text":"LGAI-EXAONE/EXAONE-Path-2.0 belongs to releases desk."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LGAI-EXAONE/EXAONE-Path-2.0 has evidence coverage 1 captured evidence page."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has captured page count","object":"1","text":"LGAI-EXAONE/EXAONE-Path-2.0 has captured page count 1."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has readable page count","object":"1","text":"LGAI-EXAONE/EXAONE-Path-2.0 has readable page count 1."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has related signal count","object":"6","text":"LGAI-EXAONE/EXAONE-Path-2.0 has related signal count 6."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has analysis playbook objective","object":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","text":"LGAI-EXAONE/EXAONE-Path-2.0 has analysis playbook objective Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has source host","object":"huggingface.co","text":"LGAI-EXAONE/EXAONE-Path-2.0 has source host huggingface.co."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has lab","object":"LG AI Research (EXAONE)","text":"LGAI-EXAONE/EXAONE-Path-2.0 has lab LG AI Research (EXAONE)."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has signal desk","object":"releases","text":"LGAI-EXAONE/EXAONE-Path-2.0 has signal desk releases."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has source host","object":"huggingface.co","text":"LGAI-EXAONE/EXAONE-Path-2.0 has source host huggingface.co."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has license","object":"other","text":"LGAI-EXAONE/EXAONE-Path-2.0 has license other."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has downloads","object":"50","text":"LGAI-EXAONE/EXAONE-Path-2.0 has downloads 50."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has likes","object":"18","text":"LGAI-EXAONE/EXAONE-Path-2.0 has likes 18."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has notability","object":"Low traction on HF downloads, niche release","text":"LGAI-EXAONE/EXAONE-Path-2.0 has notability Low traction on HF downloads, niche release."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has watch term","object":"Eval methodology","text":"LGAI-EXAONE/EXAONE-Path-2.0 has watch term Eval methodology."}]},"intelligence":{"signal_desk":"releases","answer":"LG AI Research (EXAONE) published LGAI-EXAONE/EXAONE-Path-2.0. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license other · 50 HF downloads · Low traction on HF downloads, niche release. onlylabs links this event to 1 captured evidence page and 6 related model signals.","semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published model","object":"LGAI-EXAONE/EXAONE-Path-2.0","text":"LG AI Research (EXAONE) published model LGAI-EXAONE/EXAONE-Path-2.0."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"is classified as","object":"model signal","text":"LGAI-EXAONE/EXAONE-Path-2.0 is classified as model signal."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"belongs to","object":"releases desk","text":"LGAI-EXAONE/EXAONE-Path-2.0 belongs to releases desk."},{"subject":"LGAI-EXAONE/EXAONE-Path-2.0","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LGAI-EXAONE/EXAONE-Path-2.0 has evidence coverage 1 captured evidence page."}]},"signal":{"id":"85c09435-03c9-48d9-a000-1610dff4255f","url":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f","json_url":"https://onlylabs.fyi/signals/85c09435-03c9-48d9-a000-1610dff4255f/signal.json","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0","title":"LGAI-EXAONE/EXAONE-Path-2.0","summary":"LG AI Research (EXAONE) published a model signal. onlylabs watches model cards, launch context, and traction.","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-07T10:39:02+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0/raw/main/README.md"]},"facets":{"license":"other"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":50,"hf_likes":18},"data_radar":null},"primary_evidence_page":{"url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0/raw/main/README.md","final_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0/raw/main/README.md","title":"LGAI-EXAONE/EXAONE-Path-2.0 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:39.24014+00:00","bytes":3751,"raw_path":"8f414515d44cca12652a9fc73a689e109ea5edd595e1d0af800c2a0799c9ab06.md","content_hash":"334265649bad92f1ac6ca5543b9ca216221e726de43f14db1d9fe1a853ef658b","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: other license_name: exaonepath license_link: LICENSE tags: - lg-ai - EXAONE-Path-2.0 - pathology --- EXAONE Path 2.0 Introduction In digital pathology, whole-slide images (WSIs) are often difficult to handle due to their gigapixel scale, so most approaches train patch encoders via self-supervised learning (SSL) and then aggregate the patch-level embeddings via multiple instance learning (MIL) or slide encoders for downstream tasks. However, patch-level SSL may overlook complex domain-specific features that are essential for biomarker prediction, such as mutation status and molecular characteristics, as SSL methods rely only on basic augmentations selected for natural image domains on small patch-level area. Moreover, SSL methods remain less data efficient than fully supervised approaches, requiring extensive computational resources and datasets to achieve competitive performance. To address these limitations, we present EXAONE Path 2.0, a pathology foundation model that learns patch-level representations under direct slide-level supervision. Using only 37k WSIs for training, EXAONE Path 2.0 achieves state-of-the-art average performance across 10 biomarker prediction..."},"evidence_pages":[{"url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0/raw/main/README.md","final_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0/raw/main/README.md","title":"LGAI-EXAONE/EXAONE-Path-2.0 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:39.24014+00:00","bytes":3751,"raw_path":"8f414515d44cca12652a9fc73a689e109ea5edd595e1d0af800c2a0799c9ab06.md","content_hash":"334265649bad92f1ac6ca5543b9ca216221e726de43f14db1d9fe1a853ef658b","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: other license_name: exaonepath license_link: LICENSE tags: - lg-ai - EXAONE-Path-2.0 - pathology --- EXAONE Path 2.0 Introduction In digital pathology, whole-slide images (WSIs) are often difficult to handle due to their gigapixel scale, so most approaches train patch encoders via self-supervised learning (SSL) and then aggregate the patch-level embeddings via multiple instance learning (MIL) or slide encoders for downstream tasks. However, patch-level SSL may overlook complex domain-specific features that are essential for biomarker prediction, such as mutation status and molecular characteristics, as SSL methods rely only on basic augmentations selected for natural image domains on small patch-level area. Moreover, SSL methods remain less data efficient than fully supervised approaches, requiring extensive computational resources and datasets to achieve competitive performance. To address these limitations, we present EXAONE Path 2.0, a pathology foundation model that learns patch-level representations under direct slide-level supervision. Using only 37k WSIs for training, EXAONE Path 2.0 achieves state-of-the-art average performance across 10 biomarker prediction..."}],"related_signals":[{"id":"568d04dd-6e72-4ba8-8e85-3a788fd371c6","url":"https://onlylabs.fyi/signals/568d04dd-6e72-4ba8-8e85-3a788fd371c6","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.5-33B","title":"LGAI-EXAONE/EXAONE-4.5-33B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-04-04T08:34:23+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"92204e0f-9a7f-4312-996b-d76305bf7a53","url":"https://onlylabs.fyi/signals/92204e0f-9a7f-4312-996b-d76305bf7a53","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0-rev-EGFR","title":"LGAI-EXAONE/EXAONE-Path-2.0-rev-EGFR","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-03-04T11:42:00+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"2f090e5b-b86b-49e5-85a6-4b86fa28479e","url":"https://onlylabs.fyi/signals/2f090e5b-b86b-49e5-85a6-4b86fa28479e","source_url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B","title":"LGAI-EXAONE/K-EXAONE-236B-A23B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-26T11:55:04+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"5be8317e-2787-4b9c-bdc0-1a8f73f3e40c","url":"https://onlylabs.fyi/signals/5be8317e-2787-4b9c-bdc0-1a8f73f3e40c","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.5","title":"LGAI-EXAONE/EXAONE-Path-2.5","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-15T16:34:54+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"470a48e0-b893-4962-b281-5501d34af45a","url":"https://onlylabs.fyi/signals/470a48e0-b893-4962-b281-5501d34af45a","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.0.1-32B","title":"LGAI-EXAONE/EXAONE-4.0.1-32B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-29T07:32:29+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"777b08a1-fd93-41d4-8174-b71ee5a96ca0","url":"https://onlylabs.fyi/signals/777b08a1-fd93-41d4-8174-b71ee5a96ca0","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-1.2B","title":"LGAI-EXAONE/EXAONE-4.0-1.2B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-11T07:02:32+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"}]}