Paper Citation Record · LEDGER

From Found to Designed: Concepts as a Design Axis for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.26825.

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

pith.paper-citation-record.v1
2607.26825 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:48:55.080403Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

48 of 48 outbound references displayed

verified exact0
verified fuzzy0
unresolved48
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ccb60b7-ac32-4290-9abc-15cd44b739d9 · outbound

This paper cites Forty-third International Conference on Machine Learning Position Paper Track , year=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Forty-third International Conference on Machine Learning Position Paper Track , year=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:49.511649Z

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Observation acb6ba32-8066-49ad-bd77-feed61939a7c · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , year =.

From Found to Designed: Concepts as a Design Axis for Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2023 , year =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:49.614958Z

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Observation 5e90728b-c0bf-4135-8a3f-d129256aca01 · outbound

This paper cites Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models.

From Found to Designed: Concepts as a Design Axis for Large Language Models Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:49.741478Z

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Observation 46f2071a-b849-4cc2-904f-d883f71588b3 · outbound

This paper cites Beyond Tokens: Concept-Level Training Objectives for LLM s.

From Found to Designed: Concepts as a Design Axis for Large Language Models Beyond Tokens: Concept-Level Training Objectives for LLM s

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:49.854437Z

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Observation 5f9d8106-9558-472d-9ae2-bbc2249e2343 · outbound

This paper cites When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models.

From Found to Designed: Concepts as a Design Axis for Large Language Models When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:49.999005Z

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Observation e2011f5e-7e91-4eae-bcd3-fca175848d8c · outbound

This paper cites arXiv preprint arXiv:2510.07182 , year =.

From Found to Designed: Concepts as a Design Axis for Large Language Models arXiv preprint arXiv:2510.07182 , year =

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.106358Z

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Observation 5500c766-fc13-4040-b67d-a777062d5da7 · outbound

This paper cites Transactions of the Association for Computational Linguistics , year =.

From Found to Designed: Concepts as a Design Axis for Large Language Models Transactions of the Association for Computational Linguistics , year =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.170011Z

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Unavailable: canonical work link unavailable.

Observation d440c840-c971-4edd-9052-05e6f1355cd7 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year =.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.246545Z

Source-reported events for the cited work

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Observation 76dc1807-6ff4-495d-b2ee-e3b292e5daa9 · outbound

This paper cites an unresolved cited work.

From Found to Designed: Concepts as a Design Axis for Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.293862Z

Source-reported events for the cited work

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Observation 01b85fbf-8a0e-4fd5-9781-2733413d477c · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , year =.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the 37th International Conference on Machine Learning , year =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.375322Z

Source-reported events for the cited work

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Observation 8a26eaee-def6-4030-a281-a4d2db4d5cb9 · outbound

This paper cites Sparse Autoencoders Trained on the Same Data Learn Different Features.

From Found to Designed: Concepts as a Design Axis for Large Language Models Sparse Autoencoders Trained on the Same Data Learn Different Features

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.463361Z

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Observation 14cae5ab-b7f3-43b4-aed0-f3754d83f9a2 · outbound

This paper cites Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders.

From Found to Designed: Concepts as a Design Axis for Large Language Models Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.558159Z

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Observation 35378992-e34f-429b-b808-693dbf27b3d8 · outbound

This paper cites Linguistic Analysis , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Linguistic Analysis , volume=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.682294Z

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Observation 5dfd39fd-727d-4647-88ab-ed0e186a5b68 · outbound

This paper cites International Conference on Learning Representations , year =.

From Found to Designed: Concepts as a Design Axis for Large Language Models International Conference on Learning Representations , year =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.807427Z

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Observation 505b99bd-f918-4d7a-aead-f18b22f623eb · outbound

This paper cites Proceedings of the 2021 conference of the North American chapter of the association for computational linguistics: human language technologies , pages=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the 2021 conference of the North American chapter of the association for computational linguistics: human language technologies , pages=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:50.968793Z

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Observation b0b321ca-a349-4676-b4cb-a90bc73f20bc · outbound

This paper cites and Schuster, Tal and Metzler, Donald and Lin, Jimmy.

From Found to Designed: Concepts as a Design Axis for Large Language Models and Schuster, Tal and Metzler, Donald and Lin, Jimmy

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.076920Z

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Observation 4a404dbe-02ea-447c-9fab-c2d34e51bf7c · outbound

This paper cites Improving Large Language Models with Concept-Aware Fine-Tuning.

From Found to Designed: Concepts as a Design Axis for Large Language Models Improving Large Language Models with Concept-Aware Fine-Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.218298Z

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Observation c09cb0cd-581a-42f9-b5d6-26fed8b50feb · outbound

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

From Found to Designed: Concepts as a Design Axis for Large Language Models Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.354853Z

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Observation ed98ea30-a5ec-4a2e-9be2-bd5ec71277d0 · outbound

This paper cites Forty-second International Conference on Machine Learning Position Paper Track , year=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Forty-second International Conference on Machine Learning Position Paper Track , year=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.484255Z

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Unavailable: canonical work link unavailable.

Observation 8e3d470b-9ba8-422b-926f-68c8b5d67999 · outbound

This paper cites International Conference on Learning Representations , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models International Conference on Learning Representations , volume=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.592554Z

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Observation 5fb0f525-57db-43a5-8aad-80a974ad9365 · outbound

This paper cites Transformer Circuits Thread , year=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Transformer Circuits Thread , year=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.696974Z

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Observation 4157f979-718a-4343-a09e-c50e3794f11d · outbound

This paper cites Hierarchical Transformers Are More Efficient Language Models.

From Found to Designed: Concepts as a Design Axis for Large Language Models Hierarchical Transformers Are More Efficient Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.812734Z

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Observation 22baeb87-e61a-44e4-a05c-b16046e4d326 · outbound

This paper cites Advances in neural information processing systems , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Advances in neural information processing systems , volume=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.904574Z

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Observation 3f37a9df-c2c6-46b9-9eb3-8ad0c819b7b8 · outbound

This paper cites International Conference on Learning Representations , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models International Conference on Learning Representations , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:51.999749Z

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Observation 40945b94-b26d-4254-a799-697b4e621ca3 · outbound

This paper cites arXiv preprint arXiv:2503.05613 , year=.

From Found to Designed: Concepts as a Design Axis for Large Language Models arXiv preprint arXiv:2503.05613 , year=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:52.089789Z

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Observation 50970af8-f927-4e7d-91d7-b98e0fd6725a · outbound

This paper cites 2004 , publisher=.

From Found to Designed: Concepts as a Design Axis for Large Language Models 2004 , publisher=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:52.231111Z

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Observation 5792cabf-4492-4b8e-8862-6eb91b43a449 · outbound

This paper cites Proceedings of the 57th annual meeting of the association for computational linguistics , pages=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:52.357500Z

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Observation 594010ce-cb9b-468a-9973-46e8c35995a4 · outbound

This paper cites Proceedings of the 58th annual meeting of the association for computational linguistics , pages=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:52.505552Z

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Observation 9a477fc2-01b4-461e-8c48-60d68df5159d · outbound

This paper cites International Conference on Learning Representations , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models International Conference on Learning Representations , volume=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:52.633358Z

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Observation f1432025-4433-441f-9fa3-b56d6a9cee17 · outbound

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From Found to Designed: Concepts as a Design Axis for Large Language Models Fourth Workshop on Knowledge-infused Learning , year=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:52.762872Z

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Observation 57732fcc-7f23-4ae9-82c4-65d4438b9d14 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:52.893232Z

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Observation 796cd198-33bc-4a0c-bd1d-d26af125aa95 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.001656Z

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Observation a6abe148-924f-42f3-9534-2e707e1691b1 · outbound

This paper cites Proceedings of the 28th international conference on computational linguistics , pages=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the 28th international conference on computational linguistics , pages=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.153869Z

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Observation 7f287031-b3ee-446e-8439-ad2dc145d75c · outbound

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From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.264274Z

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Observation 31825f4b-d391-4cb2-a8aa-6ba458fb73bd · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.394283Z

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Observation 80bbdc9f-1019-4d52-92d9-11fece6a2949 · outbound

This paper cites Proceedings of the 2023 conference on empirical methods in natural language processing , pages=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.529949Z

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Observation e9744a94-f700-4891-8712-8dcc1aa68330 · outbound

This paper cites EDBT/ICDT 2026 Workshops: Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference co-located with the EDBT/ICDT 2026 Joint Conference , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models EDBT/ICDT 2026 Workshops: Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference co-located with the EDBT/ICDT 2026 Joint Conference , volume=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.645838Z

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Observation 1c0cbc9f-b007-4d65-80ed-4a28c59dce57 · outbound

This paper cites The Second Workshop on Generative Information Retrieval , year=.

From Found to Designed: Concepts as a Design Axis for Large Language Models The Second Workshop on Generative Information Retrieval , year=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.836337Z

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Observation eb03e761-34a1-4048-932a-88f17c6ac4ad · outbound

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From Found to Designed: Concepts as a Design Axis for Large Language Models Journal of Web Semantics , volume=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:53.952793Z

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Observation 127f0134-8da7-4c38-8041-10a4f707e880 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.135356Z

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Observation 9b936cd2-3177-4b08-8a84-9bef67d373bd · outbound

This paper cites RAG -Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement.

From Found to Designed: Concepts as a Design Axis for Large Language Models RAG -Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.300961Z

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Observation ad4b4090-4a82-4d1a-92ff-54a8f036678a · outbound

This paper cites arXiv preprint arXiv:2602.08984 , year=.

From Found to Designed: Concepts as a Design Axis for Large Language Models arXiv preprint arXiv:2602.08984 , year=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.439590Z

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Observation 44887797-d470-4bd3-b7fc-36ae6c1795ae · outbound

This paper cites Mechanistic Interpretability Workshop at NeurIPS 2025 , year=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Mechanistic Interpretability Workshop at NeurIPS 2025 , year=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.529797Z

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Observation da56582d-301b-486a-a737-783557aa6272 · outbound

This paper cites K o C o: Conditioning Language Model Pre-training on Knowledge Coordinates.

From Found to Designed: Concepts as a Design Axis for Large Language Models K o C o: Conditioning Language Model Pre-training on Knowledge Coordinates

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.618566Z

Source-reported events for the cited work

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Observation 87d35342-8560-499e-b419-f36ffce137c0 · outbound

This paper cites Knowledge-Aware Language Model Pretraining.

From Found to Designed: Concepts as a Design Axis for Large Language Models Knowledge-Aware Language Model Pretraining

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.700191Z

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Observation 5fd7462a-e80f-460f-b346-14990c445420 · outbound

This paper cites Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet.

From Found to Designed: Concepts as a Design Axis for Large Language Models Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.828432Z

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Observation db1015cc-f7fb-405e-ab74-c9d0ac13d543 · outbound

This paper cites Emotion Concepts and their Function in a Large Language Model.

From Found to Designed: Concepts as a Design Axis for Large Language Models Emotion Concepts and their Function in a Large Language Model

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:54.959055Z

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Observation 54a5ae34-8404-4e47-bf57-64b8398d1e59 · outbound

This paper cites Computational Linguistics , volume=.

From Found to Designed: Concepts as a Design Axis for Large Language Models Computational Linguistics , volume=

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:55.080403Z

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Pith citing papers

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