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Paper Citation Record · LEDGER

Laguerre Geometry for Interpreting Large Language Models

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.10578.

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

pith.paper-citation-record.v1
2607.10578 v1

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measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T10:42:30.055074Z

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

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42 of 42 outbound references displayed

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Outbound references

Observation 71fb587f-81b4-4067-86df-ec5ff9513f8c · outbound

This paper cites The geometry of thought: Disclosing the transformer as a tropical polynomial circuit.

Laguerre Geometry for Interpreting Large Language Models The geometry of thought: Disclosing the transformer as a tropical polynomial circuit

Reference 1

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Observation eab40d66-5c45-485c-8140-2157cce25435 · outbound

This paper cites Understanding Deep Neural Networks with Rectified Linear Units.

Laguerre Geometry for Interpreting Large Language Models Understanding Deep Neural Networks with Rectified Linear Units

Reference 2

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Observation 151ec53f-cd19-4cdb-8792-9b85cb507ddb · outbound

This paper cites Layer Normalization.

Laguerre Geometry for Interpreting Large Language Models Layer Normalization

Reference 3

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Observation ac716c7e-953f-472d-95b2-322c64a0baa4 · outbound

This paper cites Representation Alignment Rests on Linear Structure.

Laguerre Geometry for Interpreting Large Language Models Representation Alignment Rests on Linear Structure

Reference 4

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:1d0e258e30cecf228b2af73c4180329bc13dd8cb371d1199b1aa0ca8b2e398e7

Observation ca618610-d43d-4d23-a648-ecf675f692d7 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Laguerre Geometry for Interpreting Large Language Models Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 5

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:5130ab59d77b9775f00b4b04e9580915dc237ed038ccdbe0ee2dce760b661607

Observation e15aa203-f0c1-4b61-a00d-3243b6c02e96 · outbound

This paper cites Temporal sparse autoencoders: Leveraging the sequential nature of language for interpretability.arXiv preprint arXiv:2511.05541,.

Laguerre Geometry for Interpreting Large Language Models Temporal sparse autoencoders: Leveraging the sequential nature of language for interpretability.arXiv preprint arXiv:2511.05541,

Reference 6

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:8bb26739f2b889fbcdefb213a1f8b45a0da3fce9596bf76fadfe1a12e9a67634

Observation 67906b4e-c84e-4c7e-a5b6-615e9e47ad26 · outbound

This paper cites Do Sparse Autoencoders Capture Concept Manifolds?.

Laguerre Geometry for Interpreting Large Language Models Do Sparse Autoencoders Capture Concept Manifolds?

Reference 7

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:c16b9033169692621a23f2caa4946a5b11677e301387e6c18f465fee0eb0c43a

Observation 925d2e04-d986-48fd-a149-d2fa3a3f3d1b · outbound

This paper cites Belief dynamics reveal the dual nature of in-context learning and activation steering.arXiv preprint arXiv:2511.00617,.

Laguerre Geometry for Interpreting Large Language Models Belief dynamics reveal the dual nature of in-context learning and activation steering.arXiv preprint arXiv:2511.00617,

Reference 8

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:f95e0fe24e8526ec9dca20b5c2fc5ac92d2a2b2e42e91d1ca49ce063044f05a9

Observation 7a3a95a4-e408-4ede-bc01-400c88d83542 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Laguerre Geometry for Interpreting Large Language Models Evaluating Large Language Models Trained on Code

Reference 9

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:63a3b6e88e7edf9e063ec79d21d6e405b8febfe9c9d131171570509c32d59bd2

Observation 3f277156-acb1-4f4b-a717-475b363e0322 · outbound

This paper cites Toy Models of Superposition.

Laguerre Geometry for Interpreting Large Language Models Toy Models of Superposition

Reference 10

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:83a93d540819e71ce572b93616b77e9f5f6199f937d822f8fe891dab666800a9

Observation 5ab52fad-374f-4a5e-ae90-7b39cf05eed5 · outbound

This paper cites Not all language model features are one- dimensionally linear.

Laguerre Geometry for Interpreting Large Language Models Not all language model features are one- dimensionally linear

Reference 11

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:11df16224217028377a261b0ef79e16164e3c727955f8eb6fd9808216e8dac92

Observation 308e08c6-a0f2-4997-9d17-4c33fd736468 · outbound

This paper cites Characterizing the Discrete Geometry of ReLU Networks.

Laguerre Geometry for Interpreting Large Language Models Characterizing the Discrete Geometry of ReLU Networks

Reference 12

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:eb2a0065867645625fa6860da5906f11d9fedf669b6ee01d12cb0545306d52cc

Observation aefb2b5e-3169-4aad-b5f1-426ed508f0d3 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Laguerre Geometry for Interpreting Large Language Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 13

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:53335fb82b9c09b1d7c1418d30b2dcc5a353c7166e702ac03abd114315ff0358

Observation 9e242e43-d075-406a-8786-dea8b52f295c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Laguerre Geometry for Interpreting Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 14

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:74d1ccc21af31b85ce260bb905be790dd3e8200686510bfb5c2a95fe2c66cdfd

Observation cd060afd-64f6-4caf-ab63-9572dde5ef20 · outbound

This paper cites Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

Laguerre Geometry for Interpreting Large Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 15

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:5f9150b084d93dbed08a95f704e4c13f9c7e1043b7160f2115cf7ea619314778

Observation 87b65419-f9b8-497c-9144-96767ab4251d · outbound

This paper cites Intricacies of feature geometry in large language models.

Laguerre Geometry for Interpreting Large Language Models Intricacies of feature geometry in large language models

Reference 16

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:0e8121d902b96c71463140f45af61cf8350c1298f281ce266d620f50edbddd3e

Observation e7c0d2e6-f540-4b46-bbb8-089ab83cf1ad · outbound

This paper cites When models manipulate manifolds: The geometry of a counting task.arXiv preprint arXiv:2601.04480, 2026a.

Laguerre Geometry for Interpreting Large Language Models When models manipulate manifolds: The geometry of a counting task.arXiv preprint arXiv:2601.04480, 2026a

Reference 17

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:4437d5ad1a1868c9bcc2539f77a13c7f58636e628affddcad937e0376803e84b

Observation 97d5900d-30b8-48a1-a560-8cc1fd865ffd · outbound

This paper cites A structural probe for finding syntax in word representations.

Laguerre Geometry for Interpreting Large Language Models A structural probe for finding syntax in word representations

Reference 18

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:6c65973caccd9a7abdc63dd9863116fb91f5a3f26cef2b2be4e965c1e69a464b

Observation 7401db93-f643-4f57-9f88-a000cf5a9fa3 · outbound

This paper cites On the Origins of Linear Representations in Large Language Models.

Laguerre Geometry for Interpreting Large Language Models On the Origins of Linear Representations in Large Language Models

Reference 19

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:48b78f3b6fcd075e19d4d3c761911df414e823f9bc95be4ed47ca1da9e2d101a

Observation 8797ce8b-d67c-4c51-baa5-3e720a96cf38 · outbound

This paper cites Are Sparse Autoencoders Useful? A Case Study in Sparse Probing.

Laguerre Geometry for Interpreting Large Language Models Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 20

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:7053d023df9e072c8e62dde9b7659871768d3612fa9db3e6553afe43015f553c

Observation c15f40d8-0ecc-454a-be49-9d2ecd8dd30c · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Laguerre Geometry for Interpreting Large Language Models Efficient Estimation of Word Representations in Vector Space

Reference 21

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:6323f800fdd087655b7c7e71252ba7a974520ec0e62e120137e2ad827c114ac5

Observation de2fbdc6-7f4e-4d7f-adc9-1edae24406eb · outbound

This paper cites Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures.

Laguerre Geometry for Interpreting Large Language Models Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures

Reference 22

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:b28e365bb63b04e61458c67d1bce0e5e123c4b0b5b1d31f1439508800b5ab450

Observation 464273ff-aa07-418d-b1f5-1101a216c8aa · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

Laguerre Geometry for Interpreting Large Language Models Steering Llama 2 via Contrastive Activation Addition

Reference 23

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:5a235b25837d19e8251f559e43a4ef399db897b80640337619f1b61ef7fb955f

Observation 2a46f501-d06b-4f94-8d62-f950147282db · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Laguerre Geometry for Interpreting Large Language Models The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 24

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:6b8d12adfe1fccd0bd07c99c4c35755e0765ec1cbf67444a0e6275be7c24610d

Observation 9c693dfc-b249-4a75-8312-09c74618330a · outbound

This paper cites The geometry of categorical and hierarchical concepts in large language models.

Laguerre Geometry for Interpreting Large Language Models The geometry of categorical and hierarchical concepts in large language models

Reference 25

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:4e476a5e8bc62b0eadffc3818208040a333511e85501d6603800df17ec9e3ce1

Observation 1d4ba225-c87f-42d0-b513-3e8b461a5255 · outbound

This paper cites On the number of response regions of deep feed forward networks with piece-wise linear activations.

Laguerre Geometry for Interpreting Large Language Models On the number of response regions of deep feed forward networks with piece-wise linear activations

Reference 26

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Observation 8b5c2bae-b07d-421e-9179-ab9abe6f8603 · outbound

This paper cites Linear Representations of Hierarchical Concepts in Language Models.

Laguerre Geometry for Interpreting Large Language Models Linear Representations of Hierarchical Concepts in Language Models

Reference 27

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:960d3ecbc98925890c9017dd4d24df5f2eded3ef584d17fce3bcd5d6d5318dbc

Observation 3c44db94-bbc3-4416-bdeb-2f5f38bf5afc · outbound

This paper cites From directions to regions: Decomposing activations in language models via local geometry.arXiv preprint arXiv:2602.02464,.

Laguerre Geometry for Interpreting Large Language Models From directions to regions: Decomposing activations in language models via local geometry.arXiv preprint arXiv:2602.02464,

Reference 28

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:c70fa14e274410ae72fa5414fd109d4c0298a91a7037541222094ab20bf672bc

Observation 8255463b-7d81-4aa7-a958-0bdf24a853db · outbound

This paper cites Open Problems in Mechanistic Interpretability.

Laguerre Geometry for Interpreting Large Language Models Open Problems in Mechanistic Interpretability

Reference 29

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:58a481b79fae711d407a8e4fd97c83ed6c90db9bfba85002e6f3b210d0555182

Observation 3b449814-c0f5-4f38-b522-6a40a3ae3d9d · outbound

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

Laguerre Geometry for Interpreting Large Language Models Emotion Concepts and their Function in a Large Language Model

Reference 30

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:aea0568ec01f5e335ea911ec6eef6f8f88c55be6c626bfbf8ac4e7610495d776

Observation 702f2fe1-953d-4aea-a02a-ed0f969b84cd · outbound

This paper cites Geometric Capacity of Transformers: A Tropical Geometry Perspective.

Laguerre Geometry for Interpreting Large Language Models Geometric Capacity of Transformers: A Tropical Geometry Perspective

Reference 31

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:927b4f4ef8e61ca77dd55ece28ee5992b2079d33758e046a6bb1bbbbc3150f9b

Observation a549c34f-e862-40ca-91ac-0459e9ef02ef · outbound

This paper cites Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry.

Laguerre Geometry for Interpreting Large Language Models Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry

Reference 32

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:8d62b83e6198b8ab17893fb13dcc481794db5ee58a931a8df0a6af8ecba77abd

Observation 5e94fa43-6f44-4ba5-95f1-5bc354ee7f31 · outbound

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

Laguerre Geometry for Interpreting Large Language Models Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

Reference 33

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:e814cd7edcc4d28f9941790204e89eaa2a7e8ea39c3276e3bf19cc6d1bfba140

Observation 43239167-f0df-40cd-9de9-7d858358ce81 · outbound

This paper cites What do you learn from context? Probing for sentence structure in contextualized word representations.

Laguerre Geometry for Interpreting Large Language Models What do you learn from context? Probing for sentence structure in contextualized word representations

Reference 34

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:7e322e592da79d2e7480a4bdfb20ea8607b03e21206cba07b4f8ed8ccb5ea74e

Observation 7f30ac83-cb7f-4193-95a0-7708534aeb8e · outbound

This paper cites Steering Language Models With Activation Engineering.

Laguerre Geometry for Interpreting Large Language Models Steering Language Models With Activation Engineering

Reference 35

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:20854b0bef1163c2d7a0522bd8846ed3dc24c205c021228bd5cd5bb0cf17cc35

Observation 984aec55-eda8-4a39-a2e3-559eded843aa · outbound

This paper cites NExT-GPT: Any-to-Any Multimodal LLM.

Laguerre Geometry for Interpreting Large Language Models NExT-GPT: Any-to-Any Multimodal LLM

Reference 36

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:3ff691a0f06095d039f59bd659575c14717d0c82e52e5d3ae77f6b8d3f785fca

Observation c9c080b5-f940-4150-a1bb-18bb7ee8f6f5 · outbound

This paper cites The Lattice Representation Hypothesis of Large Language Models.

Laguerre Geometry for Interpreting Large Language Models The Lattice Representation Hypothesis of Large Language Models

Reference 37

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:e3391b446e030ced9d9e023859c3dbeac638a0026da6c649590f581dd9cad8e0

Observation e22c11b4-7b40-4613-8ff1-716bda0dd6c1 · outbound

This paper cites Beyond single concept vector: Modeling concept subspace in llms with gaussian distribution.

Laguerre Geometry for Interpreting Large Language Models Beyond single concept vector: Modeling concept subspace in llms with gaussian distribution

Reference 38

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source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:117f8d312c62e6a7ab998c546feff93099c7729a9fca67d2acfe334ae6f45854

Observation c6e0e58b-817e-4300-b374-bbe92420dffb · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Laguerre Geometry for Interpreting Large Language Models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-14T10:42:30.055074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:29d6fc9e0a1d93789e60e344219721a4c373a0a40b496b08cd239b68e23947b6

Observation 6f0a6cee-e0bd-4ae9-b3d4-36014e12b4fe · outbound

This paper cites Let z′ denote the vertical projection of z onto U, and let z′′ denote its vertical projection onto Π(S).

Laguerre Geometry for Interpreting Large Language Models Let z′ denote the vertical projection of z onto U, and let z′′ denote its vertical projection onto Π(S)

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-14T10:42:30.055074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:598571b62177baff464fbaa51f2fa5e83e5c72b0c967f6ddad600839708114c5

Observation 68b75fed-9017-4450-9b30-2b75c1428cfb · outbound

This paper cites _Dogs" to retrieve its hyponyms/hypernyms. (B) Use the domination score of.

Laguerre Geometry for Interpreting Large Language Models _Dogs" to retrieve its hyponyms/hypernyms. (B) Use the domination score of

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-14T10:42:30.055074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:ce56c952c06eec730be25f5901fc8665881fdbbafd8006802e6970c457cfcba8

Observation 5f476400-0f46-4d89-88f4-cfe6ba95138e · outbound

This paper cites You are in a fictional world where Hamburg and Frankfurt have swapped their names. The Bode Museum is located in the city of.

Laguerre Geometry for Interpreting Large Language Models You are in a fictional world where Hamburg and Frankfurt have swapped their names. The Bode Museum is located in the city of

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-14T10:42:30.055074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:9c245187acb36492f70b7f84a905ea0351cba819d56461e04c986dc868dbf998

Pith citing papers

No inbound Pith citation observations are available.