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Paper Citation Record · LEDGER

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2502.07101.

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

pith.paper-citation-record.v1
2502.07101 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:54:58.021708Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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

41 of 41 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38f805a9-2916-4b45-a33a-7d682b6e136a · outbound

This paper cites Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages

Reference 1

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local_arxiv, observed 2026-08-08T13:54:58.460222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9c70ee3a-fc6a-4cd9-b6a7-384339937e9d · outbound

This paper cites Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models

Reference 2

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local_arxiv, observed 2026-08-08T13:54:58.449015Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:54:57.906695Z digest=sha256:f238d718523bf17fe632629396d0ecf5cce24865da6c732637639dfdad65f91c

Observation cc096c28-38e1-43cd-a418-f8e7968119bc · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 3

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T13:54:57.909880Z digest=sha256:943ee9292f87a0f4be637080dd9aa38f8f505c804e1c9e9e7e236b14f75090a9

Observation 794c685f-fd1d-4cf2-a290-a50aafbb685e · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-08T13:54:57.913090Z digest=sha256:8d7dfde3bd2c3abc028bf39577d3363d27bbe1d07cd10be11eb08afa470e8f4a

Observation b562e35f-4d7d-4276-acdc-51bb8e298408 · outbound

This paper cites Hostility Detection Dataset in Hindi.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Hostility Detection Dataset in Hindi

Reference 5

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source=arxiv_source observed=2026-08-08T13:54:57.916336Z digest=sha256:39527b2895b41e64faf3cf0175a5d49f4bb32555d45e17ff6aa48078684d2e01

Observation 1f60077b-b13a-4936-b8c1-baaaca4046c0 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-08T13:54:58.516734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:54:57.919545Z digest=sha256:94490018f26d5846c5a71ca2b2f3a989ba1da79a8a0a0c612d1502789149cf37

Observation cbcdaa87-55c5-47c1-9977-bd2a831a197d · outbound

This paper cites Language Models are Few-Shot Learners.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Language Models are Few-Shot Learners

Reference 7

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source=arxiv_source observed=2026-08-08T13:54:57.922693Z digest=sha256:798bacd3d5feedd12313637c95247cf8e6291274ea7a6f21d1e632461e65dcc1

Observation aa9bb27d-7d2f-4b99-90e0-666f4ac00f64 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-08T13:54:57.925968Z digest=sha256:73e7e202a7c9a5e9f9ad269dd0969f547af990ab7e4088bff15c765653a74bb4

Observation 027f2aef-0913-4e05-b08a-9bff46d5e7cf · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Scaling Instruction-Finetuned Language Models

Reference 9

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Observation 47fd55ed-76db-4f06-b416-918a19ca222b · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unsupervised Cross-lingual Representation Learning at Scale

Reference 10

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source=arxiv_source observed=2026-08-08T13:54:57.932385Z digest=sha256:8f37e80d94fd710be3faa3f69548b406e8815d2ed478ed999ae342c34e8307b3

Observation 0b1392e5-3e87-4566-a831-3b23d8236f39 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-08T13:54:57.935754Z digest=sha256:f61f7cc0c2600da7c93bb19d16c82f478500c126be8f35cf94a56f5795afaa9c

Observation cbe73377-ed5b-49cf-a2dd-cffbf72e90b2 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:54:57.939726Z digest=sha256:fac19e5c13f6e335f99e45adb62bd2872cd6a10255ba10ca9debdd15e6e32628

Observation 90fc72f2-6c99-40b3-bfdc-703f4feb4459 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 13

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Observation a8866b79-fdac-46b0-a16c-1a6d7ccd5d51 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-08T13:54:57.945569Z digest=sha256:300ee03a92889b59c032ad98ef57b9e1de013b2a54f04ce1698285e95a381b95

Observation 47e3ea46-6010-4671-9870-1dd880a7dbc0 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-08T13:54:57.948635Z digest=sha256:2501eeed38d0aecdab7ddd8314b1958dec969e0fc01340053cf2e1a2af1be6b8

Observation a2f9f9b9-948b-4add-8766-8d8ed2094507 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0295b3b2-cc79-4b6b-83ed-1a4b6384f390 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 17

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Observation 449bc0f4-c562-4635-81df-7afa97b6891b · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 18

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Observation faaad429-59f2-4a5e-8cce-3491aaffd6c3 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-08T13:54:57.960433Z digest=sha256:960f24acf5d91a571a2353839feefb346295e774dff3c133de4af442105cdace

Observation bc9ba72c-339d-41e8-88d0-6afd6a2ef8ea · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation A Unified Approach to Interpreting Model Predictions

Reference 20

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Observation 63a4900b-49e7-4027-a7c8-21e5279df4bd · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 21

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Observation 74d07322-c695-4b89-832d-93c748c6f4fe · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 22

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Observation ee37afe8-fb35-4106-b88a-8078a3017c82 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-08T13:54:58.500694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:54:57.971509Z digest=sha256:d52cd724f7bc19de527ff5e86be0183a391c94f2b2e8d541070d85e72264efdc

Observation 2e0d48b9-5b39-4f15-97fe-5c2db1cd8eab · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 24

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Observation 5f8f135e-0fd4-43f8-948a-ca60a02afa9a · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 25

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Observation 60170db9-dc93-4e1d-8284-ea69859e43f8 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-08T13:54:57.979335Z digest=sha256:27dad2dc17d70496d842fed808046927f116769aad7ac60df8b257f074abbd3b

Observation e0e2a9e6-504e-48ed-828a-3157babe80eb · outbound

This paper cites Hate Speech detection in the Bengali language: A dataset and its baseline evaluation.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Hate Speech detection in the Bengali language: A dataset and its baseline evaluation

Reference 27

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no resolver link, observed 2026-08-08T13:54:57.981955Z

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source=arxiv_source observed=2026-08-08T13:54:57.981955Z digest=sha256:b529910be8558f5159e6a96932e37c4e09b96f8515bba4f1c38ea1ebfebd2c0c

Observation cb972a9f-9adc-4fdc-ab25-8ac4bcc9e893 · outbound

This paper cites A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers

Reference 28

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no resolver link, observed 2026-08-08T13:54:57.984787Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T13:54:57.984787Z digest=sha256:ad66935e085dc5a8fad363471ff5bce676ae32fdd3f107b857fd0975f456cf6d

Observation 407901d5-a059-42b8-9d91-d1dd36189f0a · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 29

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no resolver link, observed 2026-08-08T13:54:57.987588Z

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Observation 91a29ef0-2c95-410d-b79a-1cbd049c96ef · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 30

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Observation 19b9bad4-67f5-4190-994e-83df95f62c14 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-08T13:54:57.993175Z digest=sha256:9b1d8162d221bfd974f82c98ccce2486f4885db98ba9d268948885f47c0e7d61

Observation 988c673a-5878-41f1-96ba-fa54cc36c59c · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-08T13:54:58.484898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c7b558ef-46c4-4cce-9508-dc7e6ac9ff7d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

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Observation fe647960-e7c3-490e-8469-456e2f036761 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-08T13:54:58.001667Z digest=sha256:63308008e1191f93b3fa0e3c096a232b43c58c5ca44cd86d748a0171df53815e

Observation 5e8e0c71-d8aa-48cd-87c0-a2f09a109eb4 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-08T13:54:58.004163Z digest=sha256:57607af39a918918c2dae2fbcb18306a2f5f52d6651b93cd165768d3eefc8e42

Observation dfe0b89b-cf83-4e78-8aca-af46d3c41ea3 · outbound

This paper cites an unresolved cited work.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:54:58.007010Z digest=sha256:4b616f760fe9524475a9019bc2a8855ed3be2fcec80f8c44a04f5c8034fc6b42

Observation ee03318b-fe28-4126-a7a2-74769dc9e9ba · outbound

This paper cites Williams.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Williams

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-08T13:54:58.476896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:54:58.009921Z digest=sha256:5702b14354c9bd6aa5e9af959302bc2ab8a84812b93448c0d8f1b5455094b75d

Observation 66b63fee-6e24-4a2b-b768-5dd9fcfc0def · outbound

This paper cites An LLM can Fool Itself: A Prompt-Based Adversarial Attack.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation An LLM can Fool Itself: A Prompt-Based Adversarial Attack

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:54:58.012525Z digest=sha256:399d3c4ba75546b5bace4145b472c65d85b1700fc4cdc181414bf65ff0182af7

Observation fc329b99-2c2d-4efb-bda7-b50d3e97f385 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation BERTScore: Evaluating Text Generation with BERT

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T13:54:58.015679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:54:58.015679Z digest=sha256:4fba96e65e3cd2304dadc3e9d30a01f4a36bad422c0086012eb3c594ae0399c5

Observation 9e90cd45-f995-4fc5-9927-e01748004401 · outbound

This paper cites online" 'onlinestring :=.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation online" 'onlinestring :=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T13:54:58.018612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:54:58.018612Z digest=sha256:565fc267c74f28f82cf6b72e09ac4c3df7bfa26e616c2e418c9a539fe2095e06

Observation 36a1de48-b36c-4a36-bb62-5eb61f98e659 · outbound

This paper cites write newline.

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T13:54:58.021708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:54:58.021708Z digest=sha256:a34a47ab453caa63612aface26366a9282508bf6632f7223c01e29630e45df17

Pith citing papers

No inbound Pith citation observations are available.