Paper Citation Record · LEDGER

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 3 inbound Pith citation observations for arXiv:2505.16894.

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

pith.paper-citation-record.v1
2505.16894 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:19.830873Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:41:17.264771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:31:09.456870Z

Reference resolution

30 of 30 outbound references displayed

verified exact2
verified fuzzy15
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b417c63a-4672-4bc9-8ded-9e4ce3ef360d · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2023.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Findings of the Association for Computational Linguistics: EMNLP 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:22.963344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a46da60-0fba-4c0b-b14b-a5049ec5fccc · outbound

This paper cites Hallucination Detection in LLMs with Topological Divergence on Attention Graphs.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Hallucination Detection in LLMs with Topological Divergence on Attention Graphs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:17.420822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4cdd6b5-9a1f-44d5-a2b4-f2f0fb6ebccd · outbound

This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:22.705388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1fb6eb0-554d-4d43-bff4-55fdaeebfd5f · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:17.592643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c10973-af4b-46bf-bb1f-9cf949cf9d14 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:17.658409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b507a4d-0d6e-4825-aab2-1df3929a8aa2 · outbound

This paper cites In: Proceedings of the 2024 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Proceedings of the 2024 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:22.534770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3274135-2d1b-49f1-9969-fb250c305bed · outbound

This paper cites Journal of Machine Learning Research24(240), 1–113 (2023).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Journal of Machine Learning Research24(240), 1–113 (2023)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:22.365382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a2480f0-271d-4a60-8187-3cf3cb77a1ca · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:22.216102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b687f49d-e928-4a07-b183-8c3797dd923d · outbound

This paper cites Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:17.914104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9ddabc2-ec16-4905-9776-7c93d29b5b43 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL 2024.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Findings of the Association for Computational Linguistics: ACL 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:22.031215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 446cadc0-b7e8-442e-b8dc-677ded373366 · outbound

This paper cites Nature630(8017), 625–630 (2024) Title Suppressed Due to Excessive Length 15.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Nature630(8017), 625–630 (2024) Title Suppressed Due to Excessive Length 15

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:21.843755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9871b6bf-b43a-4d1c-bcf3-303aa9760ad9 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2020.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Findings of the Association for Computational Linguistics: EMNLP 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:21.694654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20233dc6-6450-4609-b70c-0492d071a5c3 · outbound

This paper cites arXiv preprint arXiv:2410.03026 (2024).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs arXiv preprint arXiv:2410.03026 (2024)

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:57:20.340865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53e108a1-c272-49f5-9440-ca899ff54f7f · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:18.407281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d486e84-7956-4ddd-a963-fefb2d48e874 · outbound

This paper cites The Llama 3 Herd of Models.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs The Llama 3 Herd of Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:18.489249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d63125d-411d-4a65-a8b7-273e645634d7 · outbound

This paper cites ACM Transactions on Infor- mation Systems 43(2), 1–55 (2025).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs ACM Transactions on Infor- mation Systems 43(2), 1–55 (2025)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:21.506632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49e4fb20-9aaf-4cd3-b8f6-284931805fba · outbound

This paper cites IEEE Transactions on Software Engineering 51(2), 413–429 (2025).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs IEEE Transactions on Software Engineering 51(2), 413–429 (2025)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:21.334468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8cc674f9-f8e7-4fb1-a028-b5fb0db52839 · outbound

This paper cites ACM computing surveys55(12), 1–38 (2023).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs ACM computing surveys55(12), 1–38 (2023)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:18.743479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f5759b-b24f-434b-80bf-7b0b25386ef9 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Language Models (Mostly) Know What They Know

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:18.822252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bdbd937-06df-4d92-96c1-2f41b3f78167 · outbound

This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:21.163688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d96284e1-594c-4aa4-b2c5-091c8832a896 · outbound

This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:20.986522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae7ccbe1-0e29-467e-b554-fe4e9fb54b01 · outbound

This paper cites In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:20.836683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b55f818-4e87-4797-9dca-9a185e8068cb · outbound

This paper cites Transactions of the Association for Computational Linguistics12, 484–506 (2024).

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Transactions of the Association for Computational Linguistics12, 484–506 (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:20.686328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68323457-2d12-424f-8c6d-d438f11f38eb · outbound

This paper cites The Falcon Series of Open Language Models.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs The Falcon Series of Open Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:19.293170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0115ac27-208b-4d3a-945b-da301fe66639 · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:19.376887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdcb412b-87b9-4bea-921b-776fbfa02438 · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs A Survey of Hallucination in Large Foundation Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:19.454068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad959bbf-6471-4e38-8836-37e67fc80980 · outbound

This paper cites In: Proceedings of the 2024 Annual International ACM SIGIR Con- ference on Research and Development in Information Retrieval in the Asia Pacific Region.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs In: Proceedings of the 2024 Annual International ACM SIGIR Con- ference on Research and Development in Information Retrieval in the Asia Pacific Region

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:57:20.511891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb157e6c-dd20-488d-9e23-b1d2d96d276b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:19.639051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8d4e76-ce08-4390-a58e-b2881d4e9e85 · outbound

This paper cites What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:57:20.032167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 60e87340-851f-4ede-9488-b6b6586ae8de · outbound

This paper cites Qwen2.5 Technical Report.

Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs Qwen2.5 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:19.830873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d3f1b682-ddc8-45c7-9d08-83e6e2a767a3 · inbound

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation cites this paper.

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:09.459519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92ca7e03-6ef7-410e-8a69-3d32cd8abdeb · inbound

Many-body Tipping Dynamics of ChatGPT-like AIs cites this paper.

Many-body Tipping Dynamics of ChatGPT-like AIs Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:54.014733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27240ea0-1e38-40cc-bba8-341e4a9533ef · inbound

Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs cites this paper.

Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T00:41:17.264771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.