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Paper Citation Record · LEDGER

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction

As of 5 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2605.05134.

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

pith.paper-citation-record.v1
2605.05134 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T16:52:23.713204Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:51:58.223396Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact13
  • verified fuzzy25
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bdff6cd3-ca5f-4d4f-aa86-a3e39d88bd28 · outbound

This paper cites Language mod- els are few-shot learners.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Language mod- els are few-shot learners

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-26T09:07:32.573418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7bf7cdb4-5208-4e44-9fef-9280dca9ce14 · outbound

This paper cites GPT-4 Technical Report.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction GPT-4 Technical Report

Reference 2

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local_arxiv, observed 2026-05-11T17:56:08.814728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9abdf6c4-f542-4dbd-b9f1-fa2490ca6540 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 3

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arxiv_id, observed 2026-05-13T02:46:27.888032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:9a1f016da2d7f6fe2338c67cdb24c27647dea0406723a11021f606505169d49f

Observation 67d921f8-ff99-41ce-8484-78a4a53ee343 · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 4

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arxiv_id, observed 2026-05-17T19:58:48.184559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:b1953da900e36cf7cc23f057838522e579f9909aa1c777a25155d712c33e7c3a

Observation 0ad86aa5-4c03-476c-82bd-a1c61c7dd754 · outbound

This paper cites Ethical governance of artificial intelligence hallucinations in legal practice.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Ethical governance of artificial intelligence hallucinations in legal practice

Reference 5

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raw_fallback, observed 2026-05-26T09:07:32.579590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:076a4b61b9c32366200eb2c76481ff5ca1ee6b44d79c46d776d2bc1d2e69183d

Observation c8a6220c-769b-4f2a-b6ec-16fe8b15aac9 · outbound

This paper cites Edge subdivisions and the $L^2$-homology of right-angled Coxeter groups.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Edge subdivisions and the $L^2$-homology of right-angled Coxeter groups

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T17:56:08.799929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:c5c63df160bc9fd53158c8458aed5399b0cfa235549c478ca44b6a8e3ec5bc12

Observation 340a4208-5173-4332-a035-204a497ff1df · outbound

This paper cites Calibrated language models must hallucinate.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Calibrated language models must hallucinate

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:5a3e46503403355a8db42153c76df025665d6e9ff270f5086c7d1d23d6cadd95

Observation 026e7161-0078-42f3-807a-af7cacd6011b · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency , pages 610–623.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency , pages 610–623

Reference 8

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raw_fallback, observed 2026-05-26T09:07:32.534127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:3fc2f203a84992b8f345903230e66496dc6c2fb5927c2d3fa168a8ab01f9871b

Observation 11cfa4ed-41b6-4212-876e-33c8f77f8227 · outbound

This paper cites Why Language Models Hallucinate.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Why Language Models Hallucinate

Reference 9

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arxiv_id, observed 2026-05-13T12:32:40.683342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:45d039020c0f3f798c460e143c05de7e976dd5670a1e2e8d2285f429406ef44c

Observation cc720b4c-2df0-41f0-830f-b7ce5f9f9d55 · outbound

This paper cites Language models cannot reliably distinguish belief from knowledge and fact.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Language models cannot reliably distinguish belief from knowledge and fact

Reference 10

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raw_fallback, observed 2026-05-26T09:07:32.537591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:a1e0124ad40af9861701beaa7022354e7b231a976466eb0f313dbc4c9abd06ed

Observation e6db4c9f-7957-4777-bb60-fad9ae1bcde7 · outbound

This paper cites Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization

Reference 11

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arxiv_id, observed 2026-05-11T17:56:08.716211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:b3174b5af708271f7101cce8e72f16599201d2c64e1f4f8b43f31c3178956c6f

Observation 4499aa26-16da-4673-bbfe-12741a428c52 · outbound

This paper cites Non-commutative rational Clark measures.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Non-commutative rational Clark measures

Reference 12

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arxiv_id, observed 2026-05-11T17:56:08.734907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:9f05cb9a0677f97b12ede799e548b1119b58b3f580be6f11f659dc364b81abb9

Observation 512896d7-1b33-4c46-82d4-3f329921071f · outbound

This paper cites Blizzard: Adding True Persistence to Main Memory Data Structures.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Blizzard: Adding True Persistence to Main Memory Data Structures

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T17:56:08.739637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:078e6e7002ee89342e4e54e6aeb3eddc21d1305d6afca999884a80b0b9bdcc29

Observation e1f1ad4c-c83b-4376-9773-73d6b3698274 · outbound

This paper cites The internal state of an llm knows when its lying.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction The internal state of an llm knows when its lying

Reference 14

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raw_fallback, observed 2026-05-26T09:07:32.551728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:d1c6215b012719d71603fc41b08c5ff7820de407699de950dcfcef24b9a0e37c

Observation fd4bddc0-97e8-4a34-ba3b-027be9fe8ef7 · outbound

This paper cites Unsupervised real-time hallucination detection based on the internal states of large lan- guage models.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unsupervised real-time hallucination detection based on the internal states of large lan- guage models

Reference 15

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raw_fallback, observed 2026-05-26T09:07:32.569804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:e451b4e2ecc47e326452f3a13a9f0c73d53e9bd2231b5bb4bd99eee4d2b872c9

Observation 505d4f91-bafa-4410-9883-e3ef479a5aba · outbound

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

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 16

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arxiv_id, observed 2026-05-11T17:56:08.751734Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:ff013076ea5d197a2fb26a4375f068c1878ef9c75c76b8babaca8f59d31d10ec

Observation 6901174e-9398-4e83-8af9-47c7a2ade9f6 · outbound

This paper cites Be- yond the next token: Towards prompt-robust zero-shot classification via efficient multi-token prediction.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Be- yond the next token: Towards prompt-robust zero-shot classification via efficient multi-token prediction

Reference 17

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:d4a389ba7a919090ed28288dbacedaa02a8620cf44419cb2a9ff62bdf809fe03

Observation 668f94c8-e2a6-4c00-bd5c-60eff7548e18 · outbound

This paper cites Learning on llm output signatures for gray-box behavior analysis.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Learning on llm output signatures for gray-box behavior analysis

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:78b9077090930c5539edf7a3ad62788e1007a928d7ce067bc1e477017d05872a

Observation 8ef00e62-96f9-4793-928e-235e4222edb9 · outbound

This paper cites Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models

Reference 19

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raw_fallback, observed 2026-05-26T09:07:32.527170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f52a23c4-01bf-437b-b89a-7b1e4a36ded3 · outbound

This paper cites Felm: Bench- marking factuality evaluation of large language models.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Felm: Bench- marking factuality evaluation of large language models

Reference 20

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raw_fallback, observed 2026-05-26T09:07:32.530624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:165268952aa889bc2454313c9db3875ef3334344c029ad86fddb62710261adf9

Observation 5d66bd5f-f708-4471-9ac2-acd9e1e3d950 · outbound

This paper cites Halueval: A large-scale hallucination evaluation benchmark for large language models.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Halueval: A large-scale hallucination evaluation benchmark for large language models

Reference 21

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raw_fallback, observed 2026-05-26T09:07:32.541139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:ca1f80b7b2f89df8b69d7ed9da5dd509a0ba315ba1068fecc7be13259862d6ae

Observation 9f545ed2-5348-4b29-9110-b5f92b79dada · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 22

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raw_fallback, observed 2026-05-26T09:07:32.548309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:6ca7438f210e98be940dd512c9bd759d6b80548f65fcdcef8d09a66601c2cfcf

Observation 8fe09524-4377-43d7-a6a4-bb48197a9c5e · outbound

This paper cites Embedding and gradient say wrong: A white-box method for hallucination detection.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Embedding and gradient say wrong: A white-box method for hallucination detection

Reference 23

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raw_fallback, observed 2026-05-26T09:07:32.523567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:031c98eab6eae75d2d5f2fa0775c96a9b4a24ac8b7cc7696cf6836b5a8b160b2

Observation 75cb57bb-e576-4fe5-a587-c7d6de22df64 · outbound

This paper cites Llm-check: Investigating detection of hallucinations in large lan- guage models.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Llm-check: Investigating detection of hallucinations in large lan- guage models

Reference 24

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raw_fallback, observed 2026-05-26T09:07:32.513032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 59c7f840-adbc-49ff-aa2f-647f080aad4f · outbound

This paper cites Detect- ing hallucinations in large language model generation: A token probability approach.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Detect- ing hallucinations in large language model generation: A token probability approach

Reference 25

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raw_fallback, observed 2026-05-26T09:07:32.509560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:310fa0574bbc06379b724f5deddf31999a9f4c6d3ec52d571fc2e77dabee7646

Observation 0080de25-61e3-427e-9e57-f17992f454d9 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Detecting hallucinations in large language models using semantic entropy

Reference 26

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raw_fallback, observed 2026-05-26T09:07:32.485993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:bbc2e1fd0a663c80b517c4fbf874d2064c469a34089e19cab74c2a847d11fb61

Observation e195620e-9ab1-4eb9-b07e-78c689583357 · outbound

This paper cites Semantic uncertainty: Linguistic invari- ances for uncertainty estimation in natural language generation.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Semantic uncertainty: Linguistic invari- ances for uncertainty estimation in natural language generation

Reference 27

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raw_fallback, observed 2026-05-26T09:07:32.505744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:0c19debb9864585ea4bc1407e84301f5e669c372c8b1e12535c2a9a889cb0e8e

Observation f513c5c7-b67d-44b0-bd9d-c21388d54076 · outbound

This paper cites Beyond next token probabilities: Learnable, fast detection of hallucinations and data contamination on llm output distributions.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Beyond next token probabilities: Learnable, fast detection of hallucinations and data contamination on llm output distributions

Reference 28

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raw_fallback, observed 2026-05-26T09:07:32.516894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:b43dcc8b8efbcda72db20adb5c256813da31f0c1f760537aa929170d92a66bd7

Observation a497b6a4-ce88-454d-a4bb-55f53468b54f · outbound

This paper cites Lowest span confidence: A zero-shot metric for efficient and black-box hallucination detection in llms.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Lowest span confidence: A zero-shot metric for efficient and black-box hallucination detection in llms

Reference 29

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arxiv_id, observed 2026-05-11T17:56:08.764344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:8459c27dac8e689e0ebf04361b5ea438f3f6bb15916595b0a3824c5ee4c904b9

Observation b4f45983-35f9-4daf-b7c2-962b0885c564 · outbound

This paper cites Factselfcheck: Fact-level black-box hallucination detection for llms.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Factselfcheck: Fact-level black-box hallucination detection for llms

Reference 30

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raw_fallback, observed 2026-05-26T09:07:32.476711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:9592ba354bb9cec6bf774492ad9526705dd706f0471f66931ff5867fccc4c703

Observation 401be164-4cc1-42c1-a20c-443b2e211862 · outbound

This paper cites SAC3: reliable hallucination detection in black-box language models via semantic-aware cross-check consistency.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction SAC3: reliable hallucination detection in black-box language models via semantic-aware cross-check consistency

Reference 31

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raw_fallback, observed 2026-05-26T09:07:32.559358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:d1ec93b9902f22216050f10ad9c052792ec315312a8e39f62f9fb6f05eba9ad6

Observation f4eec2da-7124-4b0d-93d1-d019b53ccaff · outbound

This paper cites Multi- perspective consistency checking for large language model hallucination detection: a black- box zero-resource approach.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Multi- perspective consistency checking for large language model hallucination detection: a black- box zero-resource approach

Reference 32

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raw_fallback, observed 2026-05-26T09:07:32.489623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:d43026a4768925a42501250a4d2548930a2784ac13dfb2a9165bfc81ed44809b

Observation b7ce4f95-d353-4539-9005-0d1f9e3ed203 · outbound

This paper cites Zero-knowledge llm hallucination detection and mitigation through fine-grained cross-model consistency.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Zero-knowledge llm hallucination detection and mitigation through fine-grained cross-model consistency

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T09:07:32.496404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:2b6c35970d43dce17b2596ebaadec2e561722508c28c30d8c7bc326793af5003

Observation 1e5380c4-8b7b-4aa5-b27f-5bc068a38087 · outbound

This paper cites Budiši ´c, R.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Budiši ´c, R

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T09:07:32.499719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:b3017e4a6be16d0786bde0bb63b9820cf97cc24ed085d5411bbccb019ceeb443

Observation ab949e8e-b737-4ab3-bdf5-4ef70a1c188e · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.482249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:299731d5099f655df6765592856b2168e987be5d8859ce91813c4cc25767807d

Observation 6d418a37-1e37-4cc5-96db-4dc2ff83e4ae · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.492586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:d6da5a91a3e64d3b484d515a4258133613a42bc07b9bab12f4b8c31c1c32794a

Observation 6634480b-9347-421f-8ed8-302d2e567a5a · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.555461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:893e4062b733c984505acd4f9e3b851b435a66313927d3fac236f2bd0bfd5d42

Observation 9cbdc6a1-af1b-4452-99db-a4ea04032037 · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.544420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:8bf35a080144d072122fbed32c919072d34d04cd0f931775ef9f01f35a8d72a6

Observation 5460edf4-2846-4f74-b637-9bfd30ccacf2 · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.576356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:31c7796355982a178f97d581c247112e17b29d91c139d45a32ff38c156fcee13

Observation 1e6560b0-3954-413d-a758-f9cc6f869bdf · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.519920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:aa7f8c1877a904b6e6858c5ee9f2dab4af25568f29661bd2e6103e4377139d5b

Observation f98bd351-d6d1-4bd7-bd3c-7bba7ed4d21a · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.562393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:53209f607346773160877207865bc54922c4b272da5f727c9973ca4ee2355bfc

Observation 726fb0ab-17f0-447d-90b3-e4732ba8deea · outbound

This paper cites jina-embeddings-v5-text: Task-Targeted Embedding Distillation.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction jina-embeddings-v5-text: Task-Targeted Embedding Distillation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-11T17:56:08.701399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:e640e006384be67bb83f859054361f3a88480068d7966b6c6a1f65432e8127f5

Observation bdeb5a97-dcb6-4a68-a209-f03814bd942e · outbound

This paper cites Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:36:21.368649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:f5649a266a3cc4646f080878e231a702735832e9382e15bbd5ef1a87b1aac2c5

Observation 9f76ec0c-de46-43a6-9bfa-fecbe5886b06 · outbound

This paper cites F2LLM-v2: Inclusive, performant, and efficient embeddings for a multilingual world.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction F2LLM-v2: Inclusive, performant, and efficient embeddings for a multilingual world

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:56:08.712620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:2f6144f667c52f07f5910d66eb9c688b1da407344ed888b73e356447754f92d2

Observation 3287c842-dc50-4bc6-9ceb-6befe60197f5 · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.479240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:22a3de1af6b47227952c2fad537923c6319a5ef1d801712132df6a85b546f210

Observation 9e6eaf32-9db2-487f-9b0c-c9d8a7b93bec · outbound

This paper cites The Llama 3 Herd of Models.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction The Llama 3 Herd of Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-11T17:56:08.698085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:282727bfd4bf0c26fc7cad95abe2d6589c125be51088aec3a3313dfcc8b49902

Observation e3ee4552-366f-4e4c-b368-acc6a02a6ada · outbound

This paper cites A quantitative analysis of koopman operator methods for system identification and predictions.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction A quantitative analysis of koopman operator methods for system identification and predictions

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T09:07:32.566268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:19a1f87245d95980d9c16d893585f788fcb867b95a53e48979531284d095fec9

Observation 6c9e4494-4d67-45d1-8808-73806d6a4b5e · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.479521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:a6ffde6e573e59acd8f2bb2d668b2c7ac892d9a09e80d2f4fe7cfab15fefb220

Observation 4c6b6377-8fa9-4afd-8b91-d00a415705f3 · outbound

This paper cites an unresolved cited work.

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-26T09:07:32.502597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:52:23.713204Z digest=sha256:d948c7fb34c2b793dc1719b72a8889c972d072f1ddf6900d01989a609288581d

Pith citing papers

Observation 9d22211a-6059-4bac-a460-fa1da5e5879e · inbound

Guarantees on Dynamical System Distinguishability for LLM Token Generation cites this paper.

Guarantees on Dynamical System Distinguishability for LLM Token Generation Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T00:51:58.223396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:51:58.223396Z digest=sha256:cb7027ffdc887c14c1109cc22a381d17d6d61f7fb6315c75c8e777848ac40827