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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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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raw_fallback, observed 2026-08-11T20:23:21.395873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

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raw_fallback, observed 2026-08-11T20:23:21.352193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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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raw_fallback, observed 2026-08-11T20:23:21.308756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.359255Z digest=sha256:e6d6eac9518889e922ea54a9919b4dc0111acfd9f2bc7a74c73c1529a5085a61

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.363918Z digest=sha256:952efc828a7165ececfd15848d1a31b1dc36deafb11fb6487b0053dad3a43e76

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.369134Z digest=sha256:2bce25a7de4b49b1316888fa98bb62d4da1b698c65e0885f22885a63ee41cbed

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.375035Z digest=sha256:223999b6f0e6d9418b8849f1e56dd678e86ab900c999cdc87770f28302d26774

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.380628Z digest=sha256:98c07480f83e06981675506b874ecca231b500aa57039eef17e1da8f606c8c6b

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

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raw_fallback, observed 2026-08-11T20:23:21.196775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.386896Z digest=sha256:4259ada64e60ab7505315935b5e496a7bb1af1cbd7ff8cf0f5188e6d51123961

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.392006Z digest=sha256:91848bacb5b0403fec1f51b8dc904705fef98d9b75958ea8180a7613b247e191

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.398382Z digest=sha256:4781a89f6f5b4b0d76115bccff77cd86c98716c3f3940be6eceb5912b62a7aef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.403778Z digest=sha256:8b7b9247a5718887fc51338e1bdb2dec04f11cacefe006abcd39e773e5cb96ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.409969Z digest=sha256:ef62863971d2fccb189dedb8188ca0e27583ab98d4ddc7f0b82774ae57861b77

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.415910Z digest=sha256:c3e801baeee5742f8358f7de4fffc0f35baaf32b95800abad72718f11e4a0e97

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.420856Z digest=sha256:98273e13730e49a3a6cdc3b7f12c69a84fb8391eae025c705a7d46a535521812

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.425280Z digest=sha256:a9bdda1cc00e388b580445c19be335ef4a6844f026eb29b4dc18710654bea0c9

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.440788Z digest=sha256:c1dfb713244cfa09f3846bca83cdd1caee8025635beba169af557d8171ee323e

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

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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.

source=pdf_text observed=2026-08-11T20:23:19.455869Z digest=sha256:4e22fe3b783b8c06bff0d77e54e095e856950c90bc06a1a9decef764cae3ff3b

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.461507Z digest=sha256:6efacfd2114111ba872d5fb58fdf6d5a6b5bf8f04f378ffb7e0fecac0c47d5dd

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

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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.

source=pdf_text observed=2026-08-11T20:23:19.467536Z digest=sha256:6afd7e96f4380e1e79d489150ddf528cbd8a2668b33fcea31ad7cf809da80bc3

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
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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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.479118Z digest=sha256:1b4beef86d6e22d84f53aab6e4af129ee1336aa90fb75008c55b16a8a68737d8

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.489727Z digest=sha256:168a00d55fede7405c94ff1dd2011958f711c933cc1592511b2188bf1411c240

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.494623Z digest=sha256:1e42311c380ffa52f6867428e605c925df0abc01cff977dab9dc2b31ea98c5ad

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.504048Z digest=sha256:6d932b4795eda6e72c279ea3757b61fd08a0ad798c8729180b258ef888943aeb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.514015Z digest=sha256:67e79441ea826be9f89e2a5dcc2af6ed90492075bdd35a6114401c8d637d024d

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.518980Z digest=sha256:f79e021fd208356cd9a0e62635dd0d4ed65adac79601fb7c0f6595c37d033eaf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.524157Z digest=sha256:581869298ab31c3ce1001a2c8cd656f65a989d14044d6381c84d6a14a51732dd

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.529323Z digest=sha256:2a1e5f59e29fe27390aee693330f0b0d5237d9a336888c71845a01910f6236fa

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

Resolution
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.539664Z digest=sha256:d7a1e23b9970894192332a47e6e9c1ff0d2ed6ba0af83076faf0c0952bbbcdfb

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.544404Z digest=sha256:f79ab411665b7dd970922c2bac298dc79c8b80e15d2a9f19b029fcb1b8899158

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.549123Z digest=sha256:737747aed22d02071fdce6cb11d9cb9d6034d44f92e362a606ccee1dbe5ac040

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.553986Z digest=sha256:e351bf8b4787f5cbb5ff977b2963b02c1ea4b5d7bd437d9a49ad70c0c7fefb86

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.559073Z digest=sha256:4a7f027279de384ecb81d937c0b4cb0c90665eb423f19e9695495cd4069a2e53

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.564420Z digest=sha256:96255ce99feb23c93faac8e634f20d2424a651d33393984cfc1d05889d02ecdc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.573837Z digest=sha256:7578af8ec36265d66a3cea2ec2935ca4accdb69b0446fc989d5403a9c252a9fb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.578769Z digest=sha256:deedd78ec480732ae6e28a4f18800bed7bbef9ceaf573d86d76c97daecab0381

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.584157Z digest=sha256:8aa8d0b0c2b1bbe969ccbb1c796fca7768e11c99710e8bc820622a0a1f65734c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.589789Z digest=sha256:1cc7ac12029c0852be382e135b3f40b478592aa4cb46b26d958443938467998b

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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no resolver link, observed 2026-08-11T20:23:19.595482Z

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.600963Z digest=sha256:fac4d41c59544cf679764408330392667a0fe006b9aa5e72a25aba4953e9e92d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.606129Z digest=sha256:bfc79548b839a734939ce0469f1cbeaa5691b5ab0601f7c387d17530f625b230

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.611098Z digest=sha256:f66d033d4693f747481d5bf04595649463a325585484bd00aa00239824a0146d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.615887Z digest=sha256:a4360f66b1ea469b7426abbbdbe9c201fa48efff1deec6c355af6a253ad1eddf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.621105Z digest=sha256:166d376d124018f6d5399747a865bec89eafa3abb0724e128cb8f2645ca94fa9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.632031Z digest=sha256:7b87aabbd5d5bafdf383886c733b94ff219009edf0c9bee26dc8ac39d14f6efc

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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no resolver link, observed 2026-08-11T20:23:19.637069Z

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.642032Z digest=sha256:49bdedfb9a0e2da7ac02700fa4c531f73d2b2513356fe7b2da2f839304b1f325

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.658024Z digest=sha256:f3db62783ff0d676c0619fa5642561ad74e8dc075c24721257bc047bd2e7a015

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:19.664218Z 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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.670264Z digest=sha256:4e4dddd967c540daf23d0b6ddcbca6c010122b69c751ec7e7bdb2cef445cb831

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.675246Z digest=sha256:c92f5dd462ad8959ee4c04d4a4337a88093769c3657a5271870e7e640ead7179

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.680328Z digest=sha256:f14f9828813671b7e5171743340126e8ff04cc1d3ba023a9369a61e46f911b09

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.685283Z digest=sha256:6124bf9e10d2b3c7c72a3ad84ef7651ca303149c0b05ca667a3458b7639ed787

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.690024Z digest=sha256:4e0ad6dfd7fdaa819e032768b95fa9030f2026b5d5329dbf47f6bf9ebcfa8aab

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.700046Z digest=sha256:68afeb561cd6fe7e886efe899a757fce2ec881796e6c5ab9d911ecc06e329910

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.704570Z digest=sha256:abba8ce25667eed0c9cf4cf9182906a1437dfc144315d5634febef5f9bb6c070

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:e48c7041359d71060bc0ae973716d53e3e45b8f3f69dc38136bfe0f60577973e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:23:19.723820Z digest=sha256:c0d708d4ded1910bcefa8b9ae5131f2a5fcfdf80642a5a8976204279ef8dfb35

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=sha256:188d6727b0dfd9eff52b112ac0ab514e0622ee4b6dd3be7586d1484f163b0b3d

Pith citing papers

No inbound Pith citation observations are available.