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Paper Citation Record · LEDGER

Divergent large language model predictions from convergent representations in ambiguous word pairs

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.01816.

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

pith.paper-citation-record.v1
2608.01816 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:22:23.041192Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

22 of 22 outbound references displayed

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  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be32c556-5de2-482c-8150-3b46f7890b03 · outbound

This paper cites Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis.

Divergent large language model predictions from convergent representations in ambiguous word pairs Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis

Reference 1

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local_arxiv, observed 2026-08-04T20:24:00.232011Z

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Observation dfcc8e1d-b420-4634-9152-80d4bbcd185a · outbound

This paper cites Foundation-size effects were evaluated separately for each model, ambiguity type, and degradation metric using Kruskal–Wallis tests.

Divergent large language model predictions from convergent representations in ambiguous word pairs Foundation-size effects were evaluated separately for each model, ambiguity type, and degradation metric using Kruskal–Wallis tests

Reference 4

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Unavailable: canonical work link unavailable.

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Observation d885cb01-6c92-4790-81bd-0f86cb8c419a · outbound

This paper cites Gage, Philip.

Divergent large language model predictions from convergent representations in ambiguous word pairs Gage, Philip

Reference 5

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Observation 0cf8c84f-7c45-4ad5-aba7-d82e3c65f495 · outbound

This paper cites The Llama 3 Herd of Models.

Divergent large language model predictions from convergent representations in ambiguous word pairs The Llama 3 Herd of Models

Reference 6

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Observation 35087696-cd5c-4744-8ae4-6c2f52f162ca · outbound

This paper cites How to use and interpret activation patching.

Divergent large language model predictions from convergent representations in ambiguous word pairs How to use and interpret activation patching

Reference 8

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Observation 7588c714-a9d7-4d43-b864-946aad9c4382 · outbound

This paper cites The Remarkable Robustness of LLMs: Stages of Inference?.

Divergent large language model predictions from convergent representations in ambiguous word pairs The Remarkable Robustness of LLMs: Stages of Inference?

Reference 10

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This paper cites InFindings of the Association for Computational Linguistics: ACL 2025, pages 19705–19724, Association for Computational Linguistics, Vienna, Austria.

Divergent large language model predictions from convergent representations in ambiguous word pairs InFindings of the Association for Computational Linguistics: ACL 2025, pages 19705–19724, Association for Computational Linguistics, Vienna, Austria

Reference 11

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3b2d7405-8445-4ef8-9f6a-5d000c12b5b0 · outbound

This paper cites https://doi.org/10.1109/ACCESS.2023.3266377.

Divergent large language model predictions from convergent representations in ambiguous word pairs https://doi.org/10.1109/ACCESS.2023.3266377

Reference 12

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Observation 6b268b2f-a959-483d-9b28-0ca9f800703a · outbound

This paper cites ArXiv:2510.06477.

Divergent large language model predictions from convergent representations in ambiguous word pairs ArXiv:2510.06477

Reference 13

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Observation 3de35546-2619-41c5-b1dd-1ce3febda6fa · outbound

This paper cites InFindings of the Association for Computational Linguistics: EACL 2024, pages 868–874, Association for Computational Linguistics, St.

Divergent large language model predictions from convergent representations in ambiguous word pairs InFindings of the Association for Computational Linguistics: EACL 2024, pages 868–874, Association for Computational Linguistics, St

Reference 14

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Observation 9ed4c51d-3e37-465b-b2a0-db0a1747cc36 · outbound

This paper cites Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis.

Divergent large language model predictions from convergent representations in ambiguous word pairs Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis

Reference 15

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no resolver link, observed 2026-08-04T20:22:23.013506Z

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Observation c78f88d9-d7b6-4b1d-8153-6867186725db · outbound

This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.

Divergent large language model predictions from convergent representations in ambiguous word pairs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 17

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Observation 8a28faa7-82fd-4768-9102-542f0fab0c76 · outbound

This paper cites Timkey, William and Marten van Schijndel.

Divergent large language model predictions from convergent representations in ambiguous word pairs Timkey, William and Marten van Schijndel

Reference 18

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Observation a45d9454-379d-4465-be47-630c564658e3 · outbound

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Divergent large language model predictions from convergent representations in ambiguous word pairs Unresolved cited work

Reference 20

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correction dated 2025-02-22. Source: crossref record 10.1007/s00521-025-11082-z->10.1007/s00521-024-10747-5:correction, observed 2026-07-11T03:06:50.813055+00:00. This notice travels one citation hop only.

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Observation 01454ef8-1ee7-4c16-9b31-a660fff91f0b · outbound

This paper cites Qwen2.5 Technical Report.

Divergent large language model predictions from convergent representations in ambiguous word pairs Qwen2.5 Technical Report

Reference 21

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Observation b8265ea7-51cf-4e76-a359-1f0f2631431f · outbound

This paper cites an unresolved cited work.

Divergent large language model predictions from convergent representations in ambiguous word pairs Unresolved cited work

Reference 2018

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Observation 14a8e47c-85da-4527-9b61-54099f66a334 · outbound

This paper cites an unresolved cited work.

Divergent large language model predictions from convergent representations in ambiguous word pairs Unresolved cited work

Reference 2019

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Observation 0285da40-5e7c-4ad3-8057-36ee2fd2ae64 · outbound

This paper cites All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality.

Divergent large language model predictions from convergent representations in ambiguous word pairs All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality

Reference 2021

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Observation fd25500b-6813-4ceb-956f-c42415f6a9e2 · outbound

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

Divergent large language model predictions from convergent representations in ambiguous word pairs Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 2023

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Observation 9d7132ac-6122-432f-a692-24c381b833b1 · outbound

This paper cites In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 148–156, CEUR Workshop Proceedings, Pisa, Italy.

Divergent large language model predictions from convergent representations in ambiguous word pairs In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 148–156, CEUR Workshop Proceedings, Pisa, Italy

Reference 2024

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Observation a345a9c4-1a68-41dc-be72-06dc6eba0b35 · outbound

This paper cites Transformer Circuits.https: //transformer-circuits.pub/2025/attribution-graphs/methods.html.

Divergent large language model predictions from convergent representations in ambiguous word pairs Transformer Circuits.https: //transformer-circuits.pub/2025/attribution-graphs/methods.html

Reference 2025

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Observation 4b55387d-0662-4b74-aca5-25a4b7157cd5 · outbound

This paper cites Transformer Circuits Thread.

Divergent large language model predictions from convergent representations in ambiguous word pairs Transformer Circuits Thread

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.