Paper Citation Record · LEDGER

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.14113.

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

pith.paper-citation-record.v1
2607.14113 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:40:30.411983Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 725106d6-5f79-44fd-ad72-ccbb30861998 · outbound

This paper cites Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:26.618521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579fd813-ee3f-40ef-8cea-41d16ae67702 · outbound

This paper cites Detectgpt: Zero-shot machine-generated text detection using probability curvature,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Detectgpt: Zero-shot machine-generated text detection using probability curvature,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:26.719725Z

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Observation 63168ecd-336f-4c9c-a55e-7572504722f8 · outbound

This paper cites Are ai-generated text detectors robust to adversarial perturbations?.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Are ai-generated text detectors robust to adversarial perturbations?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:26.803395Z

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Observation 0c508e9a-7941-4bd3-8cf6-4fda4f2fa62d · outbound

This paper cites DAMAGE: Detecting Adversarially Modified AI Generated Text.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting DAMAGE: Detecting Adversarially Modified AI Generated Text

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:26.876608Z

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Observation ce0ca6ca-0532-44f4-9234-7453ff5e025e · outbound

This paper cites A literature survey on writing style change detection based on machine learning: State-of-the-art–review,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting A literature survey on writing style change detection based on machine learning: State-of-the-art–review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:26.990611Z

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Observation 2e26fe60-507d-4167-ba76-e372b833ca49 · outbound

This paper cites Token prediction as implicit classification to identify LLM-generated text,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Token prediction as implicit classification to identify LLM-generated text,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.105070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a166691-e9b1-4845-ae18-cefe648761fe · outbound

This paper cites Coco: Coherence-enhanced machine-generated text detection under low resource with contrastive learning,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Coco: Coherence-enhanced machine-generated text detection under low resource with contrastive learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.226205Z

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Unavailable: canonical work link unavailable.

Observation 3d23e712-304e-490a-a005-0b08387caebb · outbound

This paper cites Prdetect: Perturbation-robust llm-generated text detection based on syntax tree,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Prdetect: Perturbation-robust llm-generated text detection based on syntax tree,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.370950Z

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Unavailable: canonical work link unavailable.

Observation 08cf1a84-23ea-4867-b0c9-b9ceca188f0f · outbound

This paper cites Turnitin ai writing detection: Model architecture and testing protocol,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Turnitin ai writing detection: Model architecture and testing protocol,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.514387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd25a8f-15a9-46e6-92f9-026549c2e860 · outbound

This paper cites Red teaming language model detectors with language models,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Red teaming language model detectors with language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.594062Z

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Observation cf8eecc0-b468-4e56-b9dc-db5a2e87ba74 · outbound

This paper cites Statistical Runtime Verification for LLMs via Robustness Estimation.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Statistical Runtime Verification for LLMs via Robustness Estimation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.667620Z

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Observation ec52b3af-3d01-4617-88bc-27bc3ee227fe · outbound

This paper cites Radar: Robust ai-text detection via adversarial learning,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Radar: Robust ai-text detection via adversarial learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.785355Z

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Observation 7fd965ad-bbce-4844-b293-0879a4dc1448 · outbound

This paper cites Not all tokens are created equal: Perplexity attention weighted networks for ai-generated text detection,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Not all tokens are created equal: Perplexity attention weighted networks for ai-generated text detection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:27.895269Z

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Observation b0937207-398e-426b-8e6b-4905c0849df3 · outbound

This paper cites Gptzero: Towards detection of ai-generated text using zero-shot and supervised methods,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Gptzero: Towards detection of ai-generated text using zero-shot and supervised methods,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.010438Z

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Observation 992e860b-9c54-4d2f-b593-9f8e73db158e · outbound

This paper cites AI Detector,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting AI Detector,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.099037Z

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Unavailable: canonical work link unavailable.

Observation 7b3ebfc3-9e9a-4a4c-8199-5e28b29c127a · outbound

This paper cites Scgc: Self-supervised contrastive graph clustering,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Scgc: Self-supervised contrastive graph clustering,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.258434Z

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Observation f8760e6c-14f9-4056-8bfb-17399fc18a97 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.304737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb26218b-a79d-4cd6-8432-be5f622d8087 · outbound

This paper cites Contrastive Decoding: Open-ended Text Generation as Optimization.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Contrastive Decoding: Open-ended Text Generation as Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.432130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ba9a43-5074-40ea-ac0f-7fc0f5f335e2 · outbound

This paper cites A contrastive framework for learning sentence representations from pairwise and triple-wise perspective in angular space,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting A contrastive framework for learning sentence representations from pairwise and triple-wise perspective in angular space,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.584863Z

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Unavailable: canonical work link unavailable.

Observation 9d83bf70-af6e-4965-a494-9df59ec0e4f0 · outbound

This paper cites Efficient block contrastive learning via parameter-free meta-node approximation,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Efficient block contrastive learning via parameter-free meta-node approximation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.731081Z

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Unavailable: canonical work link unavailable.

Observation 8983aec7-6d36-4446-8552-817280794834 · outbound

This paper cites Topformer: Topology-aware authorship attribution of deepfake texts with diverse writing styles,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Topformer: Topology-aware authorship attribution of deepfake texts with diverse writing styles,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.854747Z

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Observation 2abe2503-bbd7-43f8-99f2-ee9d10a27737 · outbound

This paper cites Detective: Detecting ai-generated text via multi-level contrastive learning,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Detective: Detecting ai-generated text via multi-level contrastive learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:28.915077Z

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Unavailable: canonical work link unavailable.

Observation 2eb97d3f-fc06-49ec-b0d2-b24cab08bf68 · outbound

This paper cites an unresolved cited work.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.026202Z

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Unavailable: canonical work link unavailable.

Observation 32e7ec8f-2349-45df-828a-eb2aed8df0b3 · outbound

This paper cites Language models are few-shot learners,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Language models are few-shot learners,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.191077Z

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Unavailable: canonical work link unavailable.

Observation 1f5fe088-7060-4ebc-af75-2d17190037de · outbound

This paper cites Palm: Scaling language modeling with pathways,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Palm: Scaling language modeling with pathways,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.292077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246c2740-8581-43cd-9da2-0455b1fa5828 · outbound

This paper cites Llama: Open and efficient foundation language models,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Llama: Open and efficient foundation language models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.394144Z

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Observation 468a0011-4fb6-4035-b309-f769d7424d83 · outbound

This paper cites Language models are unsupervised multitask learners,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Language models are unsupervised multitask learners,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.508770Z

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Observation 0b680b05-45e0-48b0-baf6-be5894045fd1 · outbound

This paper cites Openwebtext corpus,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Openwebtext corpus,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.603225Z

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Observation 6edd0200-2b9f-4f4f-9db4-50b273a83888 · outbound

This paper cites Gpt2-output dataset,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Gpt2-output dataset,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.681156Z

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Observation a1a59948-d36b-42b2-b588-bd12657b8004 · outbound

This paper cites How close is chatgpt to human experts,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting How close is chatgpt to human experts,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.780170Z

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Observation 32871265-2243-4d53-9995-ee1ed88a241b · outbound

This paper cites Mage: Machine-generated text detection in the wild,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Mage: Machine-generated text detection in the wild,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.901350Z

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Unavailable: canonical work link unavailable.

Observation 6f961c01-0208-4ec8-bad3-ded1d0058a16 · outbound

This paper cites NBC-Softmax : Darkweb Author fingerprinting and migration tracking.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting NBC-Softmax : Darkweb Author fingerprinting and migration tracking

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:29.995261Z

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Observation b53f2f1f-5d14-47b1-a7b4-7439395a037a · outbound

This paper cites A tiered quadruplet network with patient-specific mining and dynamic margin for improved ugly duckling lesion classification,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting A tiered quadruplet network with patient-specific mining and dynamic margin for improved ugly duckling lesion classification,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:30.095444Z

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Observation 65a9c07d-81e6-462d-9fe3-0aaf5f303663 · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Release Strategies and the Social Impacts of Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:30.182245Z

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Observation 4ea46dc8-0ad0-48eb-af15-f5999c177fe9 · outbound

This paper cites Your large language models are leaving fingerprints,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting Your large language models are leaving fingerprints,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:30.306169Z

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Observation 5b63b76c-27a6-42e2-afc7-184a791658b1 · outbound

This paper cites How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms,.

T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T14:40:30.411983Z

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Pith citing papers

No inbound Pith citation observations are available.