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Paper Citation Record · LEDGER

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model

As of 12 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2412.05842.

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

pith.paper-citation-record.v1
2412.05842 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:23:19.733521Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

79 of 79 outbound references displayed

  • verified exact0
  • verified fuzzy54
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 915f5038-d0f8-445c-b815-17b60b11781e · outbound

This paper cites Improving image recognition by retrieving from web-scale image-text data,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Improving image recognition by retrieving from web-scale image-text data,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 78bd2637-cdc6-4742-985d-426432f44549 · outbound

This paper cites Unireplknet: A universal perception large-kernel convnet for audio video point cloud time-series and image recognition,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Unireplknet: A universal perception large-kernel convnet for audio video point cloud time-series and image recognition,

Reference 2

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raw_fallback, observed 2026-08-11T20:23:21.375738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f2ececb8-e569-4d41-adf0-e273c93b6169 · outbound

This paper cites Implicit Counterfactual Data Augmentation for Robust Learning.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Implicit Counterfactual Data Augmentation for Robust Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.338752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0d63a3d9-c516-41d0-9ee9-cf452acb6f46 · outbound

This paper cites Deep unsupervised active learning via matrix sketching,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Deep unsupervised active learning via matrix sketching,

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9f81057-70d1-4373-b205-603d6c12adec · outbound

This paper cites Linear classifier: An often-forgotten baseline for text classification,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Linear classifier: An often-forgotten baseline for text classification,

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b15dc5c0-0ae7-453f-b57d-dffbbd605a96 · outbound

This paper cites Multilingual llms are better cross-lingual in-context learners with alignment,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Multilingual llms are better cross-lingual in-context learners with alignment,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ac3e7a1e-ce4a-4062-a628-ae1ba801d120 · outbound

This paper cites Investigating annotation noise for named entity recognition,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Investigating annotation noise for named entity recognition,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.359255Z digest=sha256:a4d7dd477fe03ed634eb990c6bf8c241f666107957245fd8cc5b54e1e382fbbc

Observation 626d82fa-9c06-4387-9cc0-5722d406797d · outbound

This paper cites Give us the facts: Enhancing large language models with knowledge graphs for fact- aware language modeling,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Give us the facts: Enhancing large language models with knowledge graphs for fact- aware language modeling,

Reference 8

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.271168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b2dd813e-cb04-459f-a044-993a0d4f265f · outbound

This paper cites Class-incremental learning for multi- label audio classification,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Class-incremental learning for multi- label audio classification,

Reference 9

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.252180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.369134Z digest=sha256:2a998b1a4902fd47846b44b77820c18e157ff2913ff784b17244ec31dd10059f

Observation 92529c6d-ce7f-4f34-8415-6018c6957fee · outbound

This paper cites Audio-visual speech recognition in-the-wild: Multi-angle vehicle cabin corpus and attention-based method,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Audio-visual speech recognition in-the-wild: Multi-angle vehicle cabin corpus and attention-based method,

Reference 10

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raw_fallback, observed 2026-08-11T20:23:21.233696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b3d13363-26f5-4fb9-8775-987fa5b0ed6c · outbound

This paper cites Decision-based adversarial attack with frequency mixup,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Decision-based adversarial attack with frequency mixup,

Reference 11

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.215318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 816d4de4-7906-4f72-b486-48d645af5a1c · outbound

This paper cites Adversarial attack on large scale graph,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Adversarial attack on large scale graph,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.386896Z digest=sha256:4b0c1f7fa45fa17db02d0ebea4d19a4cc82e329a9ba9ba5d0e69485ec2d36790

Observation 3506bd55-9e16-4627-aebf-a60dfdb833ca · outbound

This paper cites Adversarial attack framework on graph embedding models with limited knowledge,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Adversarial attack framework on graph embedding models with limited knowledge,

Reference 13

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.178638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.392006Z digest=sha256:2bf78343d16acc2a94f7211bd759d9d07976744087287f775f26749f4b4d96bb

Observation f72dd9ea-889f-42c1-ada3-74e8beb9a11a · outbound

This paper cites A more context-aware approach for textual adversarial attacks using probability difference-guided beam search,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model A more context-aware approach for textual adversarial attacks using probability difference-guided beam search,

Reference 14

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.160865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.398382Z digest=sha256:4947973957abbe900b0e3ee91b24503c28d3551f053cf245c650ca95c6c64bbc

Observation c0e47250-4dc3-4642-ab9f-8bc34bd36c23 · outbound

This paper cites A unified framework for adversarial attacks on multi- source domain adaptation,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model A unified framework for adversarial attacks on multi- source domain adaptation,

Reference 15

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.140398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fab17b10-8213-4158-9bf1-41c4e8a66ad9 · outbound

This paper cites Explanation-based data-free model extraction attacks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Explanation-based data-free model extraction attacks,

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.118355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9f7cfcd9-63b9-4bbc-b428-6395614abd63 · outbound

This paper cites Dual student networks 13 for data-free model stealing,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Dual student networks 13 for data-free model stealing,

Reference 17

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raw_fallback, observed 2026-08-11T20:23:21.093992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c89eadab-c078-4f89-92cf-b9944f1d8774 · outbound

This paper cites Stealing part of a production language model,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Stealing part of a production language model,

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.063896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.420856Z digest=sha256:cb5646b98b72494c60a5e44bfd1d5761b205d995336cf5f2e8103831dcbafaec

Observation e4018446-3cdc-4bd0-9f53-08d53ee429ed · outbound

This paper cites Fully exploiting every real sample: Superpixel sample gradient model stealing,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Fully exploiting every real sample: Superpixel sample gradient model stealing,

Reference 19

Resolution
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raw_fallback, observed 2026-08-11T20:23:21.037203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 74f4116a-af5e-4cb9-b1db-61d8e4ebea55 · outbound

This paper cites Delving into transferable adversarial examples and black-box attacks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Delving into transferable adversarial examples and black-box attacks,

Reference 20

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raw_fallback, observed 2026-08-11T20:23:21.016159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.429904Z digest=sha256:85743cf54d486fbe1ba1bad26bed4b7aee8a7f533d1096c39978a9bc073693fb

Observation e70f35f1-aac6-420a-be5d-acb6cea7694a · outbound

This paper cites Can’t steal? cont-steal! contrastive stealing attacks against image encoders,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Can’t steal? cont-steal! contrastive stealing attacks against image encoders,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 63709e94-4f79-4bf1-a747-a59be5607d81 · outbound

This paper cites Towards reverse- engineering black-box neural networks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Towards reverse- engineering black-box neural networks,

Reference 22

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raw_fallback, observed 2026-08-11T20:23:20.963667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.440788Z digest=sha256:ce16e87e316a7eaa91dbe360c49a85ea271a79c2715cf23efdf6c9127abe0bec

Observation 7a75688e-8db9-45a4-9be5-9f26a7335684 · outbound

This paper cites Gradient-based learning applied to document recognition,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Gradient-based learning applied to document recognition,

Reference 23

Resolution
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no resolver link, observed 2026-08-11T20:23:19.445624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.445624Z digest=sha256:f7366096d1d7253615ed86759d3580c757911327a7c2f51dbda513ab99dee827

Observation a8b6fc93-294e-4628-8be2-6e8128e5a71d · outbound

This paper cites Deeper, broader and artier domain generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Deeper, broader and artier domain generalization,

Reference 24

Resolution
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no resolver link, observed 2026-08-11T20:23:19.450674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.450674Z digest=sha256:5478155b8d3aa2c2cdf27b2a311bd9fe643c4afd27a8bce5e2e2ff3b4c9da23c

Observation ab0357ab-37f2-429d-9c09-2ebdc720fd90 · outbound

This paper cites Towards Out-Of-Distribution Generalization: A Survey.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Towards Out-Of-Distribution Generalization: A Survey

Reference 25

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no resolver link, observed 2026-08-11T20:23:19.455869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b7166262-be2f-4a3b-aa94-ce2b270ccfba · outbound

This paper cites Domain generaliza- tion: A survey,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Domain generaliza- tion: A survey,

Reference 26

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.904693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.461507Z digest=sha256:28c243d1da045aab51bb91618ac155ff2358526305286ba804f350da4d0f0ba4

Observation 731c10b8-212c-4edb-9354-1a1fdfc88152 · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Generalizing to unseen domains: A survey on domain generalization,

Reference 27

Resolution
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no resolver link, observed 2026-08-11T20:23:19.467536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b70306ee-ac70-4206-850c-135cc01a94f5 · outbound

This paper cites Domain generalization with adversarial feature learning,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Domain generalization with adversarial feature learning,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.473469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.473469Z digest=sha256:d72eef9821beec694bbf98b538fb05e83e8d8a496939748386c301d0ae8bdc81

Observation 10f065f9-00b4-4507-92e9-66a4c61ddad4 · outbound

This paper cites Selfreg: Self-supervised contrastive regularization for domain generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Selfreg: Self-supervised contrastive regularization for domain generalization,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:23:20.854802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.479118Z digest=sha256:8749eaf99608ac8a050a01c11ecb316991d528cb8caa9b4dad3c9437e290fe25

Observation 8d3df315-2d1a-4b52-81d3-b8f0ae9f1afb · outbound

This paper cites Domain generalization with mixstyle,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Domain generalization with mixstyle,

Reference 30

Resolution
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no resolver link, observed 2026-08-11T20:23:19.484670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.484670Z digest=sha256:b13c2278cbb69e2fc11b4f04941ee518ac7e49a4aaba658b0958c9445deb3bfa

Observation 44fcddf7-37f1-42a3-86ef-ecc813fd705b · outbound

This paper cites Learning invariant representations and risks for semi-supervised domain adaptation,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Learning invariant representations and risks for semi-supervised domain adaptation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:23:20.823137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.489727Z digest=sha256:6977e95e9a5586cb6dfdbbd460f80e3f0d0425190c3f922fd4857fb0d435e6be

Observation 725f0ac6-1757-46e3-b80c-dbc9ac6597d1 · outbound

This paper cites Cache telepathy: Leveraging shared resource attacks to learn dnn architectures,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Cache telepathy: Leveraging shared resource attacks to learn dnn architectures,

Reference 32

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.801160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b22a567c-68c9-4e55-95a0-7bf88bb5d15d · outbound

This paper cites Reverse engineering convolutional neural networks through side-channel information leaks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Reverse engineering convolutional neural networks through side-channel information leaks,

Reference 33

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no resolver link, observed 2026-08-11T20:23:19.499520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.499520Z digest=sha256:97016c4336b8b6941232b58061d9a4ac43a1669d53c131833fb498e0cab80ac2

Observation e8d94f0f-eb09-4a5f-b744-61ce814c2730 · outbound

This paper cites Hermes attack: Steal dnn models with lossless inference accuracy.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Hermes attack: Steal dnn models with lossless inference accuracy

Reference 34

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.754647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.504048Z digest=sha256:14b30fca92bb7d9ff57ef5b93ba2f373cfdc54cfb9d8b46b45e75d7a11a309a0

Observation 719442ba-b53f-4abf-97c2-432a9c317267 · outbound

This paper cites Stealing hyperparameters in machine learning,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Stealing hyperparameters in machine learning,

Reference 35

Resolution
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no resolver link, observed 2026-08-11T20:23:19.508946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.508946Z digest=sha256:ca9e5aa3641170a91e492fbe7fb0d667c2e2d912f789be91d9df62aaf9b4a8e2

Observation 095df5a0-8a39-4dc3-a47a-455643c0024d · outbound

This paper cites Reverse-engineering deep relu networks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Reverse-engineering deep relu networks,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.514015Z digest=sha256:14edae2c7bf4a806b94dbb7a5247050954ec0748de39f154875ad60a86703766

Observation 00ed8726-9638-4601-b0a6-2fee464e512d · outbound

This paper cites Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images

Reference 37

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no resolver link, observed 2026-08-11T20:23:19.518980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.518980Z digest=sha256:acfe0f9c62857f2a8c968e806f6fc05602ca1faba1039ef2afecfd6f1329f28a

Observation 806cd74f-9e56-4bbe-a443-11974eec44f8 · outbound

This paper cites Correlation-aware adversarial domain adaptation and generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Correlation-aware adversarial domain adaptation and generalization,

Reference 38

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.682156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.524157Z digest=sha256:87f7cd0e95199181d0a430f164da7cb8870211139ab9c1a494fe59d7137008b6

Observation 19972d22-852e-48ce-bf93-3bf4d676fddc · outbound

This paper cites Knockoff nets: Stealing functionality of black-box models,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Knockoff nets: Stealing functionality of black-box models,

Reference 39

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.656878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.529323Z digest=sha256:eaa5b99afc65f2c6962cb23c781551193a1a99d52f67091290469df76abbd3bc

Observation 738f6a1f-67d5-4344-bbf2-39bbda1cf347 · outbound

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

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Practical black-box attacks against machine learning,

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.534837Z digest=sha256:ec918e6c5bc60abfcf5acb0c94c234e98a3ea68ad239d00b6165478fce7f3057

Observation 67dccb65-3b43-4950-aec0-fb52a1f4fbaf · outbound

This paper cites Maze: Data-free model stealing attack using zeroth-order gradient estimation,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Maze: Data-free model stealing attack using zeroth-order gradient estimation,

Reference 41

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raw_fallback, observed 2026-08-11T20:23:20.619432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.539664Z digest=sha256:aa7cc27060b788a14d927cbc61833badb97745c5212834de60df39e074f22a99

Observation fb8dfeda-796d-4220-916f-3e1fc8820042 · outbound

This paper cites Dst: Dynamic substitute training for data-free black-box attack,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Dst: Dynamic substitute training for data-free black-box attack,

Reference 42

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.595597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.544404Z digest=sha256:5574d58c222ae4a7710c91feb9f2e56bec45ae69e30321846d09209f9f982997

Observation 905a7e69-0579-4572-bbed-6593bc9e4c64 · outbound

This paper cites Delving into data: Effectively substitute training for black-box attack,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Delving into data: Effectively substitute training for black-box attack,

Reference 43

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.564782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.549123Z digest=sha256:0bb06032c6b3955cb8542d09e4b831c1e41bf345768b7796573ba4fb154fa2d5

Observation 23f5de38-77eb-46e3-885a-4b8b244c21f2 · outbound

This paper cites Segmentations-leak: Membership inference attacks and defenses in semantic image segmen- tation,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Segmentations-leak: Membership inference attacks and defenses in semantic image segmen- tation,

Reference 44

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.529613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.553986Z digest=sha256:71a1bf745caf5acc73f06d20aff6c44dd250e4d94451736b3164e2ea3929730b

Observation 3f16978e-7464-4597-81f5-a114e885c972 · outbound

This paper cites On the difficulty of membership inference attacks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model On the difficulty of membership inference attacks,

Reference 45

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.505101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.559073Z digest=sha256:5b9d286bee585e73e0f4bcc87b971760c8f888ef06a235a3068aed58ad6dfb09

Observation fd50a539-46a5-42fc-a95f-9ec7455227f7 · outbound

This paper cites Membership inference attacks from first principles,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Membership inference attacks from first principles,

Reference 46

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.481577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.564420Z digest=sha256:50272c31e51b901e6af216e46352df793c265403ec98c5609791f52d18a7bdcd

Observation 5eeaa70d-0749-4321-97b8-a6c87425993e · outbound

This paper cites Enhanced membership inference attacks against machine learning models,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Enhanced membership inference attacks against machine learning models,

Reference 47

Resolution
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no resolver link, observed 2026-08-11T20:23:19.569087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.569087Z digest=sha256:2d14bc4f5c0a701416fb0b2d20aa9c08dc3be4604ed39f73ff575fdfbc7b57ce

Observation 37d56875-9e77-441a-8cbd-e7edefac26a2 · outbound

This paper cites Membership inference attacks by exploiting loss trajectory,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Membership inference attacks by exploiting loss trajectory,

Reference 48

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.435211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.573837Z digest=sha256:c61e5c5f38582607a294cdde35fb3bd1957b199d498ea8020cfd2fa0392f7d39

Observation 2f7fa0f6-6917-474b-84be-4219abee5345 · outbound

This paper cites Scalable membership inference attacks via quantile regression,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Scalable membership inference attacks via quantile regression,

Reference 49

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.412606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.578769Z digest=sha256:77c82f6b2bd848c7516d5453ce560d91c6d01149a7b38a0b6748ab929e890ea6

Observation e2006860-1405-4d88-9d9a-5be791ac5fd1 · outbound

This paper cites Towards more realistic membership inference attacks on large diffusion models,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Towards more realistic membership inference attacks on large diffusion models,

Reference 50

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.376620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.584157Z digest=sha256:20e97b73291b5d7a7cf58076aa21be51ec1f1a9e5e25492ecc9727bd248222a6

Observation 37b07e1a-44d5-4d9f-abed-5d4a813ac8ce · outbound

This paper cites Membership inference attacks against diffusion models,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Membership inference attacks against diffusion models,

Reference 51

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.351377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.589789Z digest=sha256:a9bd4bbea0e9dac90e3462233d202b59162b129ae9815d90c595c0f92ed522ca

Observation c9d3ea5e-fd4c-4ed8-ad1e-dedb56fed2e3 · outbound

This paper cites Confmix: Unsupervised domain adaptation for object detection via confidence-based mixing,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Confmix: Unsupervised domain adaptation for object detection via confidence-based mixing,

Reference 52

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.595482Z digest=sha256:1210f94bd302be094821f697108e5ffe4e568df8eeac4a4c212a1419d97908d1

Observation aba08637-c255-4efb-83b4-f67e34e3c189 · outbound

This paper cites Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud,

Reference 53

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.307478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.600963Z digest=sha256:fc9c106e35e76f3ce17a00175fe49f5cad7eba09ae15647e928628a0ac6c321e

Observation fd0ec459-2007-49b2-8e5e-1885b85b210f · outbound

This paper cites Camera alignment and weighted contrastive learning for domain adap- tation in video person reid,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Camera alignment and weighted contrastive learning for domain adap- tation in video person reid,

Reference 54

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.281610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.606129Z digest=sha256:a16dce60a90b1d9d631d9e0790be54652cb0563bb6bc3ee1ddc77f6b18091bfa

Observation f24361a8-dfcb-4151-8c54-3b0e2cad39ef · outbound

This paper cites Unsuper- vised video domain adaptation for action recognition: A disentanglement perspective,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Unsuper- vised video domain adaptation for action recognition: A disentanglement perspective,

Reference 55

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.253267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.611098Z digest=sha256:634beb9b7b41153fdba11198de460894cb6403e61a5388fbbd20863627de44d4

Observation e1fe8fea-8b4c-406e-9412-ec9b6d2d0acb · outbound

This paper cites Madg: Margin-based adversarial learning for domain generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Madg: Margin-based adversarial learning for domain generalization,

Reference 56

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.232364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.615887Z digest=sha256:fd467b690b5c32308f4c1e9b1966dfc63173cf6ab4e89483f68e22d992e4a96b

Observation b449882a-78d6-49ae-9093-219532ae084b · outbound

This paper cites Diversifying spatial-temporal perception for video domain generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Diversifying spatial-temporal perception for video domain generalization,

Reference 57

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.209664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.621105Z digest=sha256:ac5dc9c18def5770819e59b008497ec752548ba0b0885e3812de3b3984a1b48b

Observation 9e6128dd-6c80-4acd-924b-be22f5096c9c · outbound

This paper cites Domain generalization with correlated style uncertainty,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Domain generalization with correlated style uncertainty,

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.626623Z digest=sha256:bce7eda120e67d1b2717ce4dfcc418a731bbd886cc13615f5f5a6cae33ceef6c

Observation 8c3ddbdc-0e69-46c1-9e73-14e00474746d · outbound

This paper cites Sharpness-aware gradient matching for domain generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Sharpness-aware gradient matching for domain generalization,

Reference 59

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.174941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.632031Z digest=sha256:aa32894ca075dd3c67358c2272015fa268c7c97dd37d1efed7068e9057c38c21

Observation dc5c97d1-8f01-4256-8fa9-28704d56f235 · outbound

This paper cites Mixstyle neural networks for domain generalization and adaptation,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Mixstyle neural networks for domain generalization and adaptation,

Reference 60

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.637069Z digest=sha256:a7a06b44f8669d00724cf9187b4b9f7944b8111c7380e4d0845dce5bc2a8cc5e

Observation 78c84a2f-2e91-43b8-bcb2-944b6aab16cc · outbound

This paper cites Domain Generalization via Optimal Transport with Metric Similarity Learning.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Domain Generalization via Optimal Transport with Metric Similarity Learning

Reference 61

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.642032Z digest=sha256:20b8fcde8bad442ae5515f51d6989d52d84a7872f2f539ee2dd432819e3f38bc

Observation 38fdecd0-1e57-4da2-b040-ec5c00fa2598 · outbound

This paper cites Domain generalization via multidomain discriminant analysis,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Domain generalization via multidomain discriminant analysis,

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.647541Z digest=sha256:c55358a29fbee4d461e87335a21b6f55953e840f64737857a89cac7d8158c704

Observation e85b1868-9d02-4a3b-bb0c-46406e0eae65 · outbound

This paper cites Invariant Risk Minimization.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Invariant Risk Minimization

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.652697Z digest=sha256:ef2f4b1446bcbfb6258cc7273e5ae9abab30fde4dc8b17149f5428201fbdc111

Observation d08e6f66-b868-4aa7-a346-a8fbd317a2b9 · outbound

This paper cites Environment inference for invariant learning,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Environment inference for invariant learning,

Reference 64

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.128934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.658024Z digest=sha256:458395bf77d596eab32497ef7278b0ee3a9557a381b7ff465323c066b037089b

Observation f70a5d09-0e57-4dcb-86df-cc7b8a1d984a · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex),.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Out-of-distribution generalization via risk extrapolation (rex),

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.664218Z digest=sha256:809fb78ef49f0cd0682362c3cafd43aed765f56873d3fc91b4c1701eff929ce2

Observation 119cb6f5-312e-44f6-a0f1-bc7a8bc5a05c · outbound

This paper cites Domain generalization using causal matching,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Domain generalization using causal matching,

Reference 66

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.090397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.670264Z digest=sha256:9494ce25203dc74aa28366a6647acb4dc7e914faf6fa877e29f984a954c3b861

Observation 83d5230d-5b9c-49d6-9ad3-a62e24faf9c2 · outbound

This paper cites Stable learning via sample reweighting,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Stable learning via sample reweighting,

Reference 67

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.072457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.675246Z digest=sha256:2816019817ddfd573412a1fbd2606ab646f5f484ef19f5cc51be7103c3d463d3

Observation 2ae92686-f012-4ae9-a608-cad313807214 · outbound

This paper cites Stable prediction with model misspecification and agnostic distribution shift,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Stable prediction with model misspecification and agnostic distribution shift,

Reference 68

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.054613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.680328Z digest=sha256:c268e6637788f5fec6c3ba84d7d1427cbc2df33bd439cd14afe586889efb6cec

Observation ef0dbbf8-0a98-451a-a39c-6da7daf2a2c0 · outbound

This paper cites Deep stable learning for out-of-distribution generalization,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Deep stable learning for out-of-distribution generalization,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:23:20.037525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.685283Z digest=sha256:072227051dc06b9dafd084a78b0fa8b278c6f1bacf77b721fa6a8c85d2799955

Observation 7e8d6c65-1fe2-410f-9d14-2515f10fdc1e · outbound

This paper cites Stable prediction across unknown environments,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Stable prediction across unknown environments,

Reference 70

Resolution
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raw_fallback, observed 2026-08-11T20:23:20.020489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.690024Z digest=sha256:bececb4d3dc78113792c40055eaffe1d6381642b03472746b5ecd8877885930b

Observation b1946e84-a690-4219-8de6-b3573e71035b · outbound

This paper cites Generative adversarial networks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Generative adversarial networks,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.695827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.695827Z digest=sha256:0329290a12db27f94d5deb5e7ad68e17d005821c5d0dcb77c84a7d99b048946f

Observation 987c5656-bca9-4acd-9a29-1d29601386bc · outbound

This paper cites A database for handwritten text recognition research,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model A database for handwritten text recognition research,

Reference 72

Resolution
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raw_fallback, observed 2026-08-11T20:23:19.990492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.700046Z digest=sha256:22a468e76f8b881f95a4d5cb524f52fb1531543c4a61b6a57252a92316d9fae2

Observation 173ed561-03c3-4460-b36e-0d00106c1dcb · outbound

This paper cites Dida: The largest historical handwritten digit dataset with 250k digits,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Dida: The largest historical handwritten digit dataset with 250k digits,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:23:19.971298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.704570Z digest=sha256:d9052ea99bd61c14003d66abb04d80b1b1f27ccee72344104a5fc14b63d999ec

Observation 90e84e5d-a231-4aaa-a37a-603cd1f8eb21 · outbound

This paper cites Emnist: Extending mnist to handwritten letters,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Emnist: Extending mnist to handwritten letters,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.709265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.709265Z digest=sha256:4e9c858492fbfb9a334e85ee0d4239f871c8bef0f4b3ff45aba7acd46c83d491

Observation 7464f90c-65dd-4905-968c-d587b7a85bdd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Adam: A Method for Stochastic Optimization

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.713744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.713744Z digest=sha256:7c563a5d606e9a10a6fa016db52ffba821dae04b03786f03d84b2dc751b637f0

Observation 71c00882-95ca-4f66-aa92-4bf87c37d657 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Pytorch: An imperative style, high-performance deep learning library,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.719132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.719132Z digest=sha256:f89dffa5a8a2825e5c85d34d4a65c942cc58d3e66e9995ce5f69b79124877f27

Observation 0c036b0a-1406-42ff-9d4c-362676e5319a · outbound

This paper cites Gradient starvation: A learning proclivity in neural networks,.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Gradient starvation: A learning proclivity in neural networks,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:23:19.926394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:23:19.723820Z digest=sha256:f75784197d185122803b7d3e704d46c9c2c5803551df5446e5e05baa1d9db231

Observation 6131ab8b-d7db-4c16-af76-9f70c17e8f01 · outbound

This paper cites Visualizing data using t-sne.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model Visualizing data using t-sne

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.728684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.728684Z digest=sha256:b5137be0e5f5b203c3afaefa9543c570fb538ec182c1703ef0262cf0dff306bc

Observation f6e0d507-c3cb-413d-9f70-5f24a6f8db7d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:19.733521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.733521Z digest=sha256:5ef8f576e44964aaebced106197efd1ceda8644729186aa0d7440bf5f17f7b33

Pith citing papers

No inbound Pith citation observations are available.