Paper Citation Record · LEDGER

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions

As of 18 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2601.04465.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.04465 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:04:59.522893Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cf1bfb2-20eb-4472-855d-c552c0c2abae · outbound

This paper cites InProceedings of the 2025 Conference on Empiri- cal Methods in Natural Language Processing, pages 28949–28961, Suzhou, China.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions InProceedings of the 2025 Conference on Empiri- cal Methods in Natural Language Processing, pages 28949–28961, Suzhou, China

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:58.007257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f115ecc-8745-47bb-97b4-83036c54f44f · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:58.192057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 777168af-b0ad-4d72-adc3-8fb04f00b473 · outbound

This paper cites Why Language Models Hallucinate.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions Why Language Models Hallucinate

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:58.514194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d824c9-8b63-4a6b-a8b9-7c1112ca1666 · outbound

This paper cites an unresolved cited work.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:58.877321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d32a6d6-3554-4561-9ddd-e80807996682 · outbound

This paper cites Large Concept Models: Language Modeling in a Sentence Representation Space.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:59.212672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bfe9da0-1381-4db0-afbe-d5483144256d · outbound

This paper cites InProceedings of the 2018 Conference on Empiri- cal Methods in Natural Language Processing, pages 2369–2380, Brussels, Belgium.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions InProceedings of the 2018 Conference on Empiri- cal Methods in Natural Language Processing, pages 2369–2380, Brussels, Belgium

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:59.406150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d583518-77d9-41a8-a134-d13a2fbe146b · outbound

This paper cites InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 3045–3059, Online and Punta Cana, Domini- can Republic.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 3045–3059, Online and Punta Cana, Domini- can Republic

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:58.696184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c818207-0de8-4cd5-8ead-91c8ddc716c8 · outbound

This paper cites InFindings of the Asso- ciation for Computational Linguistics: ACL 2022, pages 566–581, Dublin, Ireland.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions InFindings of the Asso- ciation for Computational Linguistics: ACL 2022, pages 566–581, Dublin, Ireland

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:59.048994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a349c4a3-3a2e-45ef-9b54-cca5d3685963 · outbound

This paper cites Eiffel Tower.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions Eiffel Tower

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:59.522893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56867fd6-59c4-4935-9634-04a5a466d8de · outbound

This paper cites The Llama 3 Herd of Models.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions The Llama 3 Herd of Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:58.391020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ee550b-2aae-4417-9741-eedca16a3356 · outbound

This paper cites Persona Vectors: Monitoring and Controlling Character Traits in Language Models.

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T12:04:57.857963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.