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Paper Citation Record · LEDGER

Towards Generalized and Stealthy Watermarking for Generative Code Models

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.20926.

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

pith.paper-citation-record.v1
2506.20926 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:45:39.717771Z

measured 40 of 40 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T16:44:20.076739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:49:35.431141Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f8c7300-4fa7-48cd-b0fe-fd9391f9429a · outbound

This paper cites Esale: Enhancing code-summary alignment learning for source code summarization,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Esale: Enhancing code-summary alignment learning for source code summarization,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T22:45:42.609656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.021716Z digest=sha256:1fb91871e7a41c5b6043c9de7f15c484c247c80cb9831ebb49d4f7bf263c8b18

Observation 6929d4f3-dd24-4401-8eb4-c2df4572e5df · outbound

This paper cites An extractive-and-abstractive framework for source code summarization,.

Towards Generalized and Stealthy Watermarking for Generative Code Models An extractive-and-abstractive framework for source code summarization,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T22:45:42.482007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.118393Z digest=sha256:b494a8287328a3f13b612d9fbff81853990e7c1a640c06f295d5392c1ef36250

Observation 56403d34-2989-4be9-869d-92a03eb1ef49 · outbound

This paper cites On the evaluation of neural code summarization,.

Towards Generalized and Stealthy Watermarking for Generative Code Models On the evaluation of neural code summarization,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T22:45:42.377769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.255601Z digest=sha256:82b0758aed7642a50895f7bebaa15a8476cc20edb9c5dc5a9d8249ad37eba767

Observation ce73fa64-1e4a-4d06-b795-11bf3f56e1e9 · outbound

This paper cites Self-collaboration code generation via chatgpt,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Self-collaboration code generation via chatgpt,

Reference 4

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unresolved
no resolver link, observed 2026-08-06T22:45:35.393371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:35.393371Z digest=sha256:f27e731d3c45138ad5f13d311405f436d45530db01aab6b86f4a6a88fc272bb2

Observation 8bdf6088-1d4b-4bb4-93de-76a20f4cf48f · outbound

This paper cites In-ide code generation from natural language: Promise and challenges,.

Towards Generalized and Stealthy Watermarking for Generative Code Models In-ide code generation from natural language: Promise and challenges,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:42.294598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.480023Z digest=sha256:4ca8464e17f55a132641f663bbde918858dd3e1e720fe5066aff2626be6740c7

Observation 2ccf1701-d119-4e6a-ba4f-24cbea17f151 · outbound

This paper cites Practical black-box attacks against machine learning,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Practical black-box attacks against machine learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:42.210598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.592705Z digest=sha256:f9e230c72352a1c7d9625c118730466095be2afe61983cd6cda1a9c9c23123ba

Observation a308efc0-05d0-4695-9d9d-3a01e394527c · outbound

This paper cites Data-free model extraction,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Data-free model extraction,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:42.109470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.734051Z digest=sha256:239a28fc06793001f3b301ca6554a999cbef234a4c9815c980273a2ac8fe3233

Observation 26b72045-06ea-4ff4-ba3f-e77073faae26 · outbound

This paper cites Codemark: Imperceptible wa- termarking for code datasets against neural code completion models,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Codemark: Imperceptible wa- termarking for code datasets against neural code completion models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:42.006491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.852430Z digest=sha256:4e6982e178ecf57f4f408e5f7d715ae1369e9d99d0c4bf94ad29876c97b5ce7a

Observation 45ffa894-ddc4-411b-8fa3-2755537e9baf · outbound

This paper cites Coprotector: Protect open- source code against unauthorized training usage with data poisoning,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Coprotector: Protect open- source code against unauthorized training usage with data poisoning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.888712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:35.980147Z digest=sha256:1cde09dfb3d6da890f0f1298ef1f3c3571ebdf035c7d7a8fc6fc62507d34df2c

Observation e61688b3-125c-4862-80db-065438ca790e · outbound

This paper cites Beyond dataset watermarking: Model-level copyright protection for code summarization models,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Beyond dataset watermarking: Model-level copyright protection for code summarization models,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.752761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:36.091803Z digest=sha256:0f741050afdc4a1f0d81831cbde952fc95f34f8b2000487f0d729be7324680c6

Observation fa6140d2-40a0-4d56-8d62-912e8b48fcf2 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Towards Generalized and Stealthy Watermarking for Generative Code Models CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 11

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unresolved
no resolver link, observed 2026-08-06T22:45:36.181770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:36.181770Z digest=sha256:6cbe011c7fdae5d16284674c57960752b16f358c6027ec6c8bb09782e003fa04

Observation 3f457cfb-9ce4-45f5-b128-69bc3fbc4f5f · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Towards Generalized and Stealthy Watermarking for Generative Code Models CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 12

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no resolver link, observed 2026-08-06T22:45:36.292211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:36.292211Z digest=sha256:f595d1332c9b2e1d556a9baffd0c54e236135b768851de503a5f135d8b822bf6

Observation 2ae8fac7-7fb3-48a2-9bb5-915ffac47f6c · outbound

This paper cites Competition- level code generation with alphacode,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Competition- level code generation with alphacode,

Reference 13

Resolution
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no resolver link, observed 2026-08-06T22:45:36.408806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:36.408806Z digest=sha256:33eb89584d9cfffa5466abf917ae5c5130c2636418c8ad7722fa8ab843e4b653

Observation c2972a0e-b50c-4fbf-afb7-3c24b554a77c · outbound

This paper cites Expectation vs. experi- ence: Evaluating the usability of code generation tools powered by large language models,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Expectation vs. experi- ence: Evaluating the usability of code generation tools powered by large language models,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:36.559458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:36.559458Z digest=sha256:7d645cc91d454552f40f65926fb1b5db25528081d9c022ed758954c3e1d4f724

Observation e1813ba4-e246-4c44-8baf-a69c04728cd1 · outbound

This paper cites A transformer- based approach for source code summarization,.

Towards Generalized and Stealthy Watermarking for Generative Code Models A transformer- based approach for source code summarization,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.652614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:36.676607Z digest=sha256:8b11002e7bc2241d2508e2f3ab668b6d6d5cd9b87370ed136311e1dba08a02f2

Observation 5ddf12b5-d443-43f5-889e-ecf9319a657f · outbound

This paper cites On the effectiveness of large language models in statement-level code summarization,.

Towards Generalized and Stealthy Watermarking for Generative Code Models On the effectiveness of large language models in statement-level code summarization,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.552331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:36.781320Z digest=sha256:7d547a317a68648e7308631703ed28340f12d316847793657837ae62a8389222

Observation 61060620-cdfe-4626-acce-3b8ad6ae689a · outbound

This paper cites Deep code comment generation with hybrid lexical and syntactical information,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Deep code comment generation with hybrid lexical and syntactical information,

Reference 17

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no resolver link, observed 2026-08-06T22:45:36.915727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:36.915727Z digest=sha256:9b8e14e55abdfb2b8d0ac1049f1a7c7a4e826ccc39972b1415293e25a2b64203

Observation a2e1f1ae-cf25-4921-a3a9-2348c127d7da · outbound

This paper cites Code to comment “translation.

Towards Generalized and Stealthy Watermarking for Generative Code Models Code to comment “translation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.413475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:37.033904Z digest=sha256:8772cbcbd3d748df525fe706c86ac3e95e52ea44b6402608e7b3dd3791f4dea7

Observation 2e9e8773-7aa2-4fa4-a69e-53f71fb37451 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Towards Generalized and Stealthy Watermarking for Generative Code Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 19

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no resolver link, observed 2026-08-06T22:45:37.172154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:37.172154Z digest=sha256:b454edae7a0f135b45fbb0c9619be074f510dd801739e7403ea69c588f026cc6

Observation dd2d27a0-9dc0-4b72-82f9-7ee7c9936ab6 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Towards Generalized and Stealthy Watermarking for Generative Code Models GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:37.277893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:37.277893Z digest=sha256:eeb72296d2103bccd982147d4c24008f1d22e2279a90c40d99801944e845be1b

Observation 692cb672-daf1-4c58-a50a-891ee29d7274 · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

Towards Generalized and Stealthy Watermarking for Generative Code Models CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 21

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unresolved
no resolver link, observed 2026-08-06T22:45:37.435530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:37.435530Z digest=sha256:39ca872e6b641be4d4849ee4853f6e4d5403d38f19960644d902d6659fa49e25

Observation 3c254f15-bf1a-4699-a0fb-0e1168033d9e · outbound

This paper cites Big code != big vocabulary: Open-vocabulary models for source code,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Big code != big vocabulary: Open-vocabulary models for source code,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.347520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:37.582868Z digest=sha256:f0c763be6b891b8c04d7c0514456b6068877809f18e6a91f27f5f8be18c58121

Observation 9a19e913-4f23-4435-995d-b3b3fb139122 · outbound

This paper cites Untargeted backdoor watermark: Towards harmless and stealthy dataset copy- right protection,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Untargeted backdoor watermark: Towards harmless and stealthy dataset copy- right protection,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.233789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:37.763265Z digest=sha256:a37eef39e9be9b2795835bb3d52f8a486a5daa1b3071c82055d4dedd64dc0a67

Observation 365ed968-ba35-4fb3-9c02-7b721e6869e9 · outbound

This paper cites Black- box dataset ownership verification via backdoor watermarking,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Black- box dataset ownership verification via backdoor watermarking,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:41.105762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:37.864347Z digest=sha256:8c82e10ae1b8196f3dc60c6f4a47fa60218f3018d5a9cb30f9c2568b8575a480

Observation c6ffe9a3-19ee-4e05-8119-7d56dd8ca2c7 · outbound

This paper cites Unambiguous and high-fidelity backdoor watermarking for deep neural networks,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Unambiguous and high-fidelity backdoor watermarking for deep neural networks,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.964058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:38.009871Z digest=sha256:48393aebe0c15e3247d24f14efb469b6456297ace7a098055391261ea0a66244

Observation edf54663-ea1f-4455-b05f-a1ebdd782625 · outbound

This paper cites Neural network laundering: Removing black-box backdoor watermarks from deep neural networks,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Neural network laundering: Removing black-box backdoor watermarks from deep neural networks,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.842298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:38.153324Z digest=sha256:bbefceb3d0f76aaf9cf32ec0e433e815ed924a83d766d73ef5b8aa321f52200b

Observation 82beb93f-da18-4c92-88a5-a40126107343 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Bleu: a method for automatic evaluation of machine translation,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:38.263146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:38.263146Z digest=sha256:3dd69107a4233f698a01c40eea0997805d0ca4fdcce7770845aced04f7882316

Observation 1b2175ab-a425-405c-b3a2-7f75fdae1037 · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Squad: 100,000+ questions for machine comprehension of text,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.691291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:38.376521Z digest=sha256:8c94e91e8ff6bd9b2ea70f18f87fc132f74c7047933f4e9047ec1be24e8f60ea

Observation 10fa4d6f-59d5-4564-ba92-61505e61e7bf · outbound

This paper cites Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:38.512153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:38.512153Z digest=sha256:80eccf8d1bb2c061f55e097193c1f0ecdcaf8ee00dd72c2c978868b9d6b9d6d6

Observation 1e163aa7-6086-4c11-8984-e6b69b069773 · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

Towards Generalized and Stealthy Watermarking for Generative Code Models CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:38.655544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:38.655544Z digest=sha256:7d0eaea86f18c820789b49121a7750a50778680f3bfbce9f13269ec88b37f6b1

Observation 512c0835-367e-4324-a4e7-800cffd8ab0b · outbound

This paper cites Stealthy backdoor attack for code models,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Stealthy backdoor attack for code models,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:38.800407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:38.800407Z digest=sha256:9d46b854946f550c572552b5adc36f7e10fa8e76dd0de08e561168bf5de1388c

Observation e8ab4955-210c-4098-b9db-7e143c0e146c · outbound

This paper cites Onion: A simple and effective defense against textual backdoor attacks,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Onion: A simple and effective defense against textual backdoor attacks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.585029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:38.932663Z digest=sha256:29abe14bbd1ee73a95320960e134d551ca74bba986f5d2174106f171da778f4b

Observation 9a242bf1-bf0b-49c4-9917-de57757c7136 · outbound

This paper cites Spectral signatures in backdoor attacks,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Spectral signatures in backdoor attacks,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:39.078573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:39.078573Z digest=sha256:77d06c744b9d432f0f8c1cd6a247993a8bb7879f28fd3a1aa3100363e87a5447

Observation 3903475e-f948-47bb-8d2e-10d985125c79 · outbound

This paper cites Bppattack: Stealthy and efficient tro- jan attacks against deep neural networks via image quantization and contrastive adversarial learning,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Bppattack: Stealthy and efficient tro- jan attacks against deep neural networks via image quantization and contrastive adversarial learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.413064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:39.217214Z digest=sha256:900b837fe697c02ce7b9f4268fe0075fb87d2f7dcd95de1002875652edea8faa

Observation b4b0b5bc-9079-45c8-bb19-2c978d248a99 · outbound

This paper cites Invisible backdoor attack with sample-specific triggers,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Invisible backdoor attack with sample-specific triggers,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.311434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:39.343981Z digest=sha256:a42882771f5f35feb197d3c14a400864eedc8b228cc9453d2d36ef308a26b846

Observation 9a740cc2-7894-4817-85a5-c079089b2096 · outbound

This paper cites Advdoor: adversarial backdoor attack of deep learning system,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Advdoor: adversarial backdoor attack of deep learning system,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.174598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:39.448009Z digest=sha256:09a27f754f689d686c8321ac1362067637ecd233f05ae3b55d20961d20b79e61

Observation 13d5c3b1-6a9b-4750-b302-7282bd9970f9 · outbound

This paper cites Blind backdoors in deep learning models,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Blind backdoors in deep learning models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:40.089002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:39.528314Z digest=sha256:5ee2971314a8b53740f07619af74e1d9ad5acfb97e0dc9e9a9ad6e5e7e5e51d8

Observation 8e135aa9-5592-469a-8199-eec2f32098f3 · outbound

This paper cites You autocom- plete me: Poisoning vulnerabilities in neural code completion,.

Towards Generalized and Stealthy Watermarking for Generative Code Models You autocom- plete me: Poisoning vulnerabilities in neural code completion,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:39.983536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:39.614776Z digest=sha256:15e959f5f2ff199091ea5d1d4a7b416822565aab52624ec0b72db6f64f97dd8e

Observation c109bbd6-b1a6-492e-a75d-d45beec280c8 · outbound

This paper cites Backdoors in neural models of source code,.

Towards Generalized and Stealthy Watermarking for Generative Code Models Backdoors in neural models of source code,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:45:39.891149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:45:39.717771Z digest=sha256:aff57c70e140ad18f3165f92435a0e5a1b1ac2925446374810052224d113247e

Pith citing papers

Observation 9058afb4-2b94-4494-b8a8-bf218cae2385 · inbound

PromptMark: A Prompt-Guided Iterative-Feedback Framework for Source Code Watermarking cites this paper.

PromptMark: A Prompt-Guided Iterative-Feedback Framework for Source Code Watermarking Towards Generalized and Stealthy Watermarking for Generative Code Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:49:35.433123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T16:44:20.076739Z digest=sha256:4e3be31e59635d73dacadf741aad667391640d123db298f6c073f98413857469