Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:29:25.070448Z
Paper Citation Record · LEDGER
The Future of AI: Exploring the Potential of Large Concept Models
As of 17 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 3 inbound Pith citation observations for arXiv:2501.05487.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T20:15:46.454806Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:01:03.124223Z
Reference resolution
74 of 74 outbound references displayed
- verified exact1
- verified fuzzy60
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 25fd8e6d-d125-4963-8c51-a839eb98e9ad · outbound
This paper cites Towards an understanding of large language models in software engineering tasks,.
The Future of AI: Exploring the Potential of Large Concept Models Towards an understanding of large language models in software engineering tasks,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:24.737540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed0c382a-93b2-4f42-b191-19abcb611d36 · outbound
This paper cites A survey on evaluation of large language models,.
The Future of AI: Exploring the Potential of Large Concept Models A survey on evaluation of large language models,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:24.742303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 118c7756-a715-465e-9261-ea39ce044fa2 · outbound
This paper cites "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data.
The Future of AI: Exploring the Potential of Large Concept Models "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:24.746719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21d68db3-31ba-4424-9667-90e8d18f83a7 · outbound
This paper cites Meta large concept models (lcm): End of llms?.
The Future of AI: Exploring the Potential of Large Concept Models Meta large concept models (lcm): End of llms?
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.622511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 40332670-7d3b-4744-a5c0-9232edc6b19d · outbound
This paper cites Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.
The Future of AI: Exploring the Potential of Large Concept Models Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:24.755977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78b5da61-9824-4de5-8789-4782a878ca3e · outbound
This paper cites Improving language models by retrieving from trillions of tokens,.
The Future of AI: Exploring the Potential of Large Concept Models Improving language models by retrieving from trillions of tokens,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.607162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f62c5f49-0144-40e2-8fcb-24758e3f9ba6 · outbound
This paper cites ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models.
The Future of AI: Exploring the Potential of Large Concept Models ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:24.765222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 174277fc-1d43-4b14-be9e-510312049f6a · outbound
This paper cites Token-based prompt manipulation for automated large language model evaluation,.
The Future of AI: Exploring the Potential of Large Concept Models Token-based prompt manipulation for automated large language model evaluation,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.591579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 57173fb5-3cb0-44e7-977e-c14fe41f10ad · outbound
This paper cites Palm: Predicting actions through language models,.
The Future of AI: Exploring the Potential of Large Concept Models Palm: Predicting actions through language models,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.574217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8c581f91-a86d-45f0-a977-bc09ecbb63ac · outbound
This paper cites Ai is breaking free of token-based llms by upping the ante to large concept models that devour sentences and adore concepts,.
The Future of AI: Exploring the Potential of Large Concept Models Ai is breaking free of token-based llms by upping the ante to large concept models that devour sentences and adore concepts,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.559215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c4fb1846-d4ff-4772-8348-5459d8b129b5 · outbound
This paper cites The strengths and limitations of large language models in reasoning, planning, and code integration,.
The Future of AI: Exploring the Potential of Large Concept Models The strengths and limitations of large language models in reasoning, planning, and code integration,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.542397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96458267-6a03-43ca-a367-a30ed6381a70 · outbound
This paper cites The limitations of large language models for understanding human language and cognition,.
The Future of AI: Exploring the Potential of Large Concept Models The limitations of large language models for understanding human language and cognition,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.527957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f3db186f-c4f6-43e1-ba2b-7334dba67841 · outbound
This paper cites Data design for fine-tuning llms with long context win- dows,.
The Future of AI: Exploring the Potential of Large Concept Models Data design for fine-tuning llms with long context win- dows,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.512068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation de0b95bd-9a89-4493-8225-2493c3ef6be7 · outbound
This paper cites Limitations of llm models,.
The Future of AI: Exploring the Potential of Large Concept Models Limitations of llm models,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.493871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 41b089ee-2f78-494a-8310-a8ea7513c0e9 · outbound
This paper cites Moa: Mixture of sparse atten- tion for automatic large language model compression,.
The Future of AI: Exploring the Potential of Large Concept Models Moa: Mixture of sparse atten- tion for automatic large language model compression,
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:24.808702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbc5d08e-1b9c-4956-a17b-e40c7aedbe77 · outbound
This paper cites Locality-sensitive hashing for long context neural machine translation,.
The Future of AI: Exploring the Potential of Large Concept Models Locality-sensitive hashing for long context neural machine translation,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.478090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 494d3d5e-3b66-446b-aa04-0b93e3b360cf · outbound
This paper cites Large Concept Models: Language Modeling in a Sentence Representation Space.
The Future of AI: Exploring the Potential of Large Concept Models Large Concept Models: Language Modeling in a Sentence Representation Space
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:24.818736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e1b58d7-caf9-44be-9b27-b645f31404ac · outbound
This paper cites Large concept models (lcms) by meta: The era of ai after llms?.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models (lcms) by meta: The era of ai after llms?
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.461120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6006df6a-bfaa-4b1b-a71b-d431c38d9ca2 · outbound
This paper cites All you need to know about llm text generations,.
The Future of AI: Exploring the Potential of Large Concept Models All you need to know about llm text generations,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.446228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 581d0495-c355-468e-b6b6-688298fe9c12 · outbound
This paper cites Experimenting with lcm models (meta’s alternative to llm models),.
The Future of AI: Exploring the Potential of Large Concept Models Experimenting with lcm models (meta’s alternative to llm models),
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.430517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be1db810-8f6f-435e-8c6e-e2d56c2a9baa · outbound
This paper cites Large concept models (lcm),.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models (lcm),
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.414551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 963479ea-acab-4ded-9952-36b46fab4187 · outbound
This paper cites Large concept models (lcms),.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models (lcms),
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.399397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bdd902fb-07c2-48a9-b8be-daf5a99126ce · outbound
This paper cites Lcms (large concept models): The path to agi, the future of ai thinking,.
The Future of AI: Exploring the Potential of Large Concept Models Lcms (large concept models): The path to agi, the future of ai thinking,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.383965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 031eec9b-ec0e-4601-b9d3-659aeda43e92 · outbound
This paper cites Meta’s large concept models (lcms) are here to challenge and redefine llms,.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s large concept models (lcms) are here to challenge and redefine llms,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.370525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ef7de256-bb10-4729-a1c1-1469b65dc306 · outbound
This paper cites Meta ai proposes large concept models (lcms): A semantic leap beyond token-based language modeling,.
The Future of AI: Exploring the Potential of Large Concept Models Meta ai proposes large concept models (lcms): A semantic leap beyond token-based language modeling,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.354719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca12ccbd-c61a-4ba9-903a-d5b2155adefc · outbound
This paper cites A deep dive into large concept models (lcms),.
The Future of AI: Exploring the Potential of Large Concept Models A deep dive into large concept models (lcms),
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.337263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8a6171e1-5fe2-4409-a03c-58302c708829 · outbound
This paper cites Meta’s large concept models (lcms): The future of ai innovation!.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s large concept models (lcms): The future of ai innovation!
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.320369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44bddedc-037a-4f99-8209-45b09a7e52e5 · outbound
This paper cites What is the concepts in large concept model and why its useful,.
The Future of AI: Exploring the Potential of Large Concept Models What is the concepts in large concept model and why its useful,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.305246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d28ef37-0297-42d4-8f6a-1bb60c2fb527 · outbound
This paper cites Practical advancements in ai: How large concept models are redefining the landscape of llms,.
The Future of AI: Exploring the Potential of Large Concept Models Practical advancements in ai: How large concept models are redefining the landscape of llms,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.290076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 270433d3-cd83-4775-9d13-16a674f6cf83 · outbound
This paper cites Large concept models : Language modeling in a sentence representation space,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models : Language modeling in a sentence representation space,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.276955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbefedd4-6850-4407-b1d8-41711ba707f5 · outbound
This paper cites The next evolution of ai: Trading tokens for concepts - large concept models,.
The Future of AI: Exploring the Potential of Large Concept Models The next evolution of ai: Trading tokens for concepts - large concept models,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.263983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cae49c73-be10-4e47-9073-0f12e0e975d2 · outbound
This paper cites Meta introduces large concept models,.
The Future of AI: Exploring the Potential of Large Concept Models Meta introduces large concept models,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.250771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37edd717-05df-4314-b91e-89541d27bb77 · outbound
This paper cites Future of llms? meta’s new lcms explained (large concept models),.
The Future of AI: Exploring the Potential of Large Concept Models Future of llms? meta’s new lcms explained (large concept models),
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.237173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e2afaf8-4983-400d-8a7c-7bf28e928b92 · outbound
This paper cites Meta’s stunning new llm architecture is a game-changer!.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s stunning new llm architecture is a game-changer!
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.223069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eabca245-9553-4930-b8c4-c9aa3d9adf6e · outbound
This paper cites Meta’s stunning lcm large concept models for artificial intelligence — they are thinking now!.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s stunning lcm large concept models for artificial intelligence — they are thinking now!
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.209002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b79ba6c3-1e10-4954-8de0-22049785d9b3 · outbound
This paper cites Large concept models: The future of ai is here!.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models: The future of ai is here!
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.194845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97859987-16e0-48f1-b220-dc26b5349adb · outbound
This paper cites what is lcm ? large concept models : Beyond token-level processing,.
The Future of AI: Exploring the Potential of Large Concept Models what is lcm ? large concept models : Beyond token-level processing,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.179391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dea6ad4b-fa8a-4a96-8951-bdfd1e182750 · outbound
This paper cites Experts are stunned! meta’s new llm architecture is a game-changer!.
The Future of AI: Exploring the Potential of Large Concept Models Experts are stunned! meta’s new llm architecture is a game-changer!
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.164004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e226185-109f-46e9-b402-ace2e0464701 · outbound
This paper cites Meta introduces large concept models (lcm) - the end of large language models (llms)?.
The Future of AI: Exploring the Potential of Large Concept Models Meta introduces large concept models (lcm) - the end of large language models (llms)?
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.148549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d52c4784-9543-486d-b272-e74836de5df8 · outbound
This paper cites Lcm: The ultimate evolution of ai? large concept models,.
The Future of AI: Exploring the Potential of Large Concept Models Lcm: The ultimate evolution of ai? large concept models,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.130509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 999928bb-ec8b-457b-9835-7111cd46ca29 · outbound
This paper cites Large concept models, training inference and applica- tions,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models, training inference and applica- tions,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.115552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37f0e39f-2fad-41e3-a39f-0ce30c53ef17 · outbound
This paper cites Meta’s latest llm architecture shocks experts,.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s latest llm architecture shocks experts,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.100511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9baf1cb6-d5a4-4520-90b7-9e762f034796 · outbound
This paper cites What are large concept models? the ai innovation you need to know about!!.
The Future of AI: Exploring the Potential of Large Concept Models What are large concept models? the ai innovation you need to know about!!
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.086313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b425e5ed-6938-41c8-8e93-978de9eb20c0 · outbound
This paper cites Meta large concept models (lcms),.
The Future of AI: Exploring the Potential of Large Concept Models Meta large concept models (lcms),
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.071398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 993a4df2-8923-4c11-b8c3-499c803d5265 · outbound
This paper cites Rethinking language models: The emergence of large concept models,.
The Future of AI: Exploring the Potential of Large Concept Models Rethinking language models: The emergence of large concept models,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.057085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2dc7793d-92d9-4141-9471-95f323a8aa95 · outbound
This paper cites Exploring large concept models: The next evolution in ai,.
The Future of AI: Exploring the Potential of Large Concept Models Exploring large concept models: The next evolution in ai,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.043145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb39620d-20d6-447c-94cc-0bb2653bcf30 · outbound
This paper cites Meta’s large concept models (lcms) redefine nlp,.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s large concept models (lcms) redefine nlp,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.028557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bf173e29-d447-4f64-80fb-f535a9dd1d98 · outbound
This paper cites Large concept model (lcm): Redefining language understanding with multilingual and modality-agnostic ai,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept model (lcm): Redefining language understanding with multilingual and modality-agnostic ai,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:26.013448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a2217223-d56a-40bc-be70-27c53cdea777 · outbound
This paper cites Why meta’s lcm models are the secret to unlocking ai’s true potential,.
The Future of AI: Exploring the Potential of Large Concept Models Why meta’s lcm models are the secret to unlocking ai’s true potential,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.999157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f9b97860-553f-4a59-8541-c3500bf9c8b0 · outbound
This paper cites Large concept models: Language modeling in a sentence representation space,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models: Language modeling in a sentence representation space,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.986420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28b992b0-3c62-46bf-b769-2a8ef8238a45 · outbound
This paper cites Meta’s large concept models: A new paradigm in ai lan- guage understanding,.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s large concept models: A new paradigm in ai lan- guage understanding,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.972041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7bf0ce19-68f0-4ff4-82c1-dc2952bd917b · outbound
This paper cites What is the concept in large concept models and why it’s useful?.
The Future of AI: Exploring the Potential of Large Concept Models What is the concept in large concept models and why it’s useful?
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.952386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b3b4572b-27c5-4ef5-b4b7-de7a648c9dd1 · outbound
This paper cites Are large concept models the future of ai? breaking down meta’s lcm,.
The Future of AI: Exploring the Potential of Large Concept Models Are large concept models the future of ai? breaking down meta’s lcm,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.936731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08eeeaf3-1470-4d62-a9c3-ff6ad47b3496 · outbound
This paper cites Beyond meta: Large concept models will win,.
The Future of AI: Exploring the Potential of Large Concept Models Beyond meta: Large concept models will win,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.921276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2a5719cd-f17a-4327-bc5d-83652f8b014a · outbound
This paper cites From token to conceptual: Meta introduces large concept models in multilingual ai,.
The Future of AI: Exploring the Potential of Large Concept Models From token to conceptual: Meta introduces large concept models in multilingual ai,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.905262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 743385b5-133d-4261-b6d2-6e84123a8617 · outbound
This paper cites Meta’s shift from llm (large language models) to lcm (large concept models),.
The Future of AI: Exploring the Potential of Large Concept Models Meta’s shift from llm (large language models) to lcm (large concept models),
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.889936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 75e6d450-b06b-4fe8-b3c1-1e5e7ad33476 · outbound
This paper cites Large concept models (lcms) explained,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models (lcms) explained,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.874870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4de34c27-b18c-46dc-84c1-088848fa069d · outbound
This paper cites Large concept model (lcm): A new paradigm for large- scale semantic reasoning in ai,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept model (lcm): A new paradigm for large- scale semantic reasoning in ai,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.860173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation abb659dc-293b-43da-b43b-40e38c66c7cc · outbound
This paper cites Meta launches ’large concept models’ (lcms)! breaking through llm limitations and leading a new direction in ai language understand- ing,.
The Future of AI: Exploring the Potential of Large Concept Models Meta launches ’large concept models’ (lcms)! breaking through llm limitations and leading a new direction in ai language understand- ing,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.846099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8c45ff2f-8db8-4af2-813a-0f8879f5a250 · outbound
This paper cites Meta giving llms human thinking! (lcm explained),.
The Future of AI: Exploring the Potential of Large Concept Models Meta giving llms human thinking! (lcm explained),
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.830187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 71c2e4ff-40a3-4bbd-9fd4-fddf584a5132 · outbound
This paper cites Large concept models: Meta’s next frontier in ai,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models: Meta’s next frontier in ai,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.814789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc4160df-cf3c-4d0c-9ca3-ee39256bf5b6 · outbound
This paper cites The big leap in ai: Meta’s large concept models,.
The Future of AI: Exploring the Potential of Large Concept Models The big leap in ai: Meta’s large concept models,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.798281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ae8d9cd4-a08d-4506-b60a-11cf2c3722a5 · outbound
This paper cites Large concept models (lcms): A conceptual leap in generative ai,.
The Future of AI: Exploring the Potential of Large Concept Models Large concept models (lcms): A conceptual leap in generative ai,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.782186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af3e031a-7b51-4cfe-ac30-51adde68ebb3 · outbound
This paper cites Rethinking ai in legal tech: The role of large concept models,.
The Future of AI: Exploring the Potential of Large Concept Models Rethinking ai in legal tech: The role of large concept models,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.765610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 10cc9532-11d5-4786-a2c4-eaec7c2ab77f · outbound
This paper cites Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures.
The Future of AI: Exploring the Potential of Large Concept Models Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:25.030525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12784df6-f6ed-4fb1-bbbe-02be22544100 · outbound
This paper cites A Survey on Immersive Cyber Situational Awareness Systems.
The Future of AI: Exploring the Potential of Large Concept Models A Survey on Immersive Cyber Situational Awareness Systems
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:29:25.518182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28afd2ea-3e57-496d-84ba-e5accd6e0a1a · outbound
This paper cites Microservice vulnerability analysis: A literature review with empirical insights,.
The Future of AI: Exploring the Potential of Large Concept Models Microservice vulnerability analysis: A literature review with empirical insights,
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:25.039048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1ee9a01-c8e6-47e0-803e-044efecca088 · outbound
This paper cites Machine Learning Driven Smishing Detection Framework for Mobile Security.
The Future of AI: Exploring the Potential of Large Concept Models Machine Learning Driven Smishing Detection Framework for Mobile Security
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:25.042652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6080c87-c721-4a93-913b-180c5da15952 · outbound
This paper cites A review on c3i systems’ security: Vulnerabilities, attacks, and countermeasures,.
The Future of AI: Exploring the Potential of Large Concept Models A review on c3i systems’ security: Vulnerabilities, attacks, and countermeasures,
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.739786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ef094a2a-4cee-4ac5-b71d-00e7335c285b · outbound
This paper cites Cybersecurity vulnerability management: A conceptual ontol- ogy and cyber intelligence alert system,.
The Future of AI: Exploring the Potential of Large Concept Models Cybersecurity vulnerability management: A conceptual ontol- ogy and cyber intelligence alert system,
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.723791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5621d71f-ecef-4ebe-b39a-64c0a2d68383 · outbound
This paper cites Towards resource- efficient reactive and proactive auto-scaling for microservice architec- tures,.
The Future of AI: Exploring the Potential of Large Concept Models Towards resource- efficient reactive and proactive auto-scaling for microservice architec- tures,
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:29:25.707783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e75e0f8-b815-4daa-8cdc-ee9a3e1e24fc · outbound
This paper cites Smart hpa: A resource-efficient horizontal pod auto-scaler for microservice architectures,.
The Future of AI: Exploring the Potential of Large Concept Models Smart hpa: A resource-efficient horizontal pod auto-scaler for microservice architectures,
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:25.061271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3e148e2-7a70-4f56-a302-3f542c3c047a · outbound
This paper cites an unresolved cited work.
The Future of AI: Exploring the Potential of Large Concept Models Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:29:25.692072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4f927b1-09ab-4cb6-bf13-9c9ebe9c214e · outbound
This paper cites Robust Partial Least Squares Using Low Rank and Sparse Decomposition.
The Future of AI: Exploring the Potential of Large Concept Models Robust Partial Least Squares Using Low Rank and Sparse Decomposition
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:25.070448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 708d9536-5477-485b-bf55-668721ef94b7 · inbound
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning cites this paper.
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning The Future of AI: Exploring the Potential of Large Concept Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:05:48.407449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7d418b03-24ac-4801-b380-1a5e67df5d7c · inbound
Comparative Analysis of Large Language Models in Healthcare cites this paper.
Comparative Analysis of Large Language Models in Healthcare The Future of AI: Exploring the Potential of Large Concept Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:16:07.894818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e6b8bf1c-cc30-4faa-9413-18414f4a767c · inbound
AgenticVM: Agentic AI for Adaptive Software Vulnerability Management cites this paper.
AgenticVM: Agentic AI for Adaptive Software Vulnerability Management The Future of AI: Exploring the Potential of Large Concept Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:01:03.127519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.