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Paper Citation Record · LEDGER

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization

As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.21742.

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

pith.paper-citation-record.v1
2507.21742 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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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

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 62a3a075-58bc-476f-8833-4fa5fff42497 · outbound

This paper cites Ak, Ashraf A.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Ak, Ashraf A

Reference 1

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Observation cbea2667-2aea-4e6f-bcf2-9f725d6c4807 · outbound

This paper cites A unifying mutual information view of metric learn- ing: Cross-entropy vs.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization A unifying mutual information view of metric learn- ing: Cross-entropy vs

Reference 2

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This paper cites Bird Species Categorization Using Pose Normalized Deep Convolutional Nets.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

Reference 3

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This paper cites Robust and accurate object detection via adversarial learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Robust and accurate object detection via adversarial learning

Reference 4

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This paper cites Elgammal.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Elgammal

Reference 5

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Observation d1468ee6-e8b1-4bc5-92d3-d325d7e60653 · outbound

This paper cites Masked auto-encoders meet generative adversarial networks and beyond.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Masked auto-encoders meet generative adversarial networks and beyond

Reference 6

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This paper cites Lempitsky.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Lempitsky

Reference 7

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This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C

Reference 8

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This paper cites Image-based 3d object reconstruction: State-of-the-art and trends in the deep learning era.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Image-based 3d object reconstruction: State-of-the-art and trends in the deep learning era

Reference 9

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This paper cites Deep residual learning for image recognition.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Deep residual learning for image recognition

Reference 10

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This paper cites Duplex generative adversarial network for unsupervised do- main adaptation.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Duplex generative adversarial network for unsupervised do- main adaptation

Reference 11

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This paper cites Few-view object reconstruction with unknown cate- gories and camera poses.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Few-view object reconstruction with unknown cate- gories and camera poses

Reference 12

Resolution
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This paper cites Contrastive bayesian analysis for deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Contrastive bayesian analysis for deep metric learning

Reference 13

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Observation 0849d898-9cd3-460b-bda2-c88b07774a2b · outbound

This paper cites Embedding transfer with label relaxation for improved met- ric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Embedding transfer with label relaxation for improved met- ric learning

Reference 14

Resolution
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Observation 9c028f66-9417-4fd4-8f76-c5c0433e2420 · outbound

This paper cites Learning with memory-based virtual classes for deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Learning with memory-based virtual classes for deep metric learning

Reference 15

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Observation 9d3eee9d-e1b3-456b-8bd3-93be85b1dc7c · outbound

This paper cites Opengan: Open-set recog- nition via open data generation.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Opengan: Open-set recog- nition via open data generation

Reference 16

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Observation ca65cdb9-aa12-4502-b196-d274b78f60f7 · outbound

This paper cites 3d object representations for fine-grained categorization.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization 3d object representations for fine-grained categorization

Reference 17

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This paper cites Correlation-guided semantic consistency network for visible-infrared person re-identification.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Correlation-guided semantic consistency network for visible-infrared person re-identification

Reference 18

Resolution
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Observation 51f4b6ce-b29c-482d-8840-f4e7623c355e · outbound

This paper cites Hypergraph-induced semantic tuplet loss for deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Hypergraph-induced semantic tuplet loss for deep metric learning

Reference 19

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This paper cites DAS: densely- anchored sampling for deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization DAS: densely- anchored sampling for deep metric learning

Reference 20

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Observation c02ed7d6-9ae4-48be-9de5-36c7d9b2ec59 · outbound

This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 21

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Observation ae799a2f-4a42-4aa8-95e5-106badf6c00c · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Fine-Grained Visual Classification of Aircraft

Reference 22

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This paper cites Keypoint-aligned embeddings for image retrieval and re-identification.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Keypoint-aligned embeddings for image retrieval and re-identification

Reference 23

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This paper cites U-net: Convolutional networks for biomedical image segmentation.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization U-net: Convolutional networks for biomedical image segmentation

Reference 24

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This paper cites Simultaneous similarity-based self-distillation for deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Simultaneous similarity-based self-distillation for deep metric learning

Reference 25

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This paper cites Non- isotropy regularization for proxy-based deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Non- isotropy regularization for proxy-based deep metric learning

Reference 26

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This paper cites Facenet: A unified embedding for face recognition and clus- tering.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Facenet: A unified embedding for face recognition and clus- tering

Reference 27

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Observation 79515496-0a7b-4751-9e63-d166e38e7c63 · outbound

This paper cites Learning intra-batch connections for deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Learning intra-batch connections for deep metric learning

Reference 28

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This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra

Reference 29

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This paper cites Deep metric learning via lifted structured feature embedding.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Deep metric learning via lifted structured feature embedding

Reference 30

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This paper cites Taylor, and Graham.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Taylor, and Graham

Reference 31

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Observation 0c15cb0a-ad77-42d9-8370-655bc8848b61 · outbound

This paper cites Introspective deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Introspective deep metric learning

Reference 32

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Observation 74e10e32-f5b1-4617-a290-c4f225e6bada · outbound

This paper cites Category-specific nuance exploration network for fine- grained object retrieval.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Category-specific nuance exploration network for fine- grained object retrieval

Reference 33

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Observation 23ca981c-bd91-4811-86d1-7767ff252bf7 · outbound

This paper cites Open-set fine-grained retrieval via prompting vision-language evaluator.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Open-set fine-grained retrieval via prompting vision-language evaluator

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.113438Z digest=sha256:a75e075e91849bd3c44b39d3d3c7c1a6e2d5c4ca789a9eba4c1595b9b4733bcd

Observation 5a387143-07bb-48c4-9263-002aa98ca44c · outbound

This paper cites Learning to parameterize visual at- tributes for open-set fine-grained retrieval.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Learning to parameterize visual at- tributes for open-set fine-grained retrieval

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.470966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 27b2c870-de02-45e9-b75d-2509d191ec3f · outbound

This paper cites Fine-grained retrieval prompt tuning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Fine-grained retrieval prompt tuning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.460536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cad1f999-5fbf-4804-8c32-07c6d5822710 · outbound

This paper cites Semantic-guided information align- ment network for fine-grained image recognition.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Semantic-guided information align- ment network for fine-grained image recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.449522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4c40cd21-e9bd-4997-873c-ceb00e1fbf4c · outbound

This paper cites Content-aware rectified activation for zero-shot fine-grained image retrieval.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Content-aware rectified activation for zero-shot fine-grained image retrieval

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.439392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.130071Z digest=sha256:40c646f7064dbc1fcff566e961f2fa36288f440534f333ad5b821811b137bb45

Observation 1346321c-90b5-4f51-accf-e00136a32017 · outbound

This paper cites Accurate fine-grained object recogni- tion with structure-driven relation graph networks.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Accurate fine-grained object recogni- tion with structure-driven relation graph networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.429433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.134538Z digest=sha256:d95fb6ec4f94185ecacab593b7897d248f685fddc754eccba9fd2ee8697845b9

Observation a9054e7d-378a-4700-9792-2c8adbab13cd · outbound

This paper cites an unresolved cited work.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:34:14.419143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 13aea529-10aa-433b-b81a-46a666434791 · outbound

This paper cites Graph-propagation based correlation learning for weakly supervised fine-grained image classification.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Graph-propagation based correlation learning for weakly supervised fine-grained image classification

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.398877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c240a85c-b813-419a-9c30-a8d7b2d50c96 · outbound

This paper cites Weakly supervised fine-grained image classification via guassian mixture model oriented discrim- inative learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Weakly supervised fine-grained image classification via guassian mixture model oriented discrim- inative learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.388569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c5fb9d59-5fc0-40d3-ae1f-57d97549cb3b · outbound

This paper cites Bppattack: Stealthy and efficient trojan attacks against deep neural net- works via image quantization and contrastive adversarial learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Bppattack: Stealthy and efficient trojan attacks against deep neural net- works via image quantization and contrastive adversarial learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.378091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.155862Z digest=sha256:7377520210f8ae33d78f5816616b6fc906f1c841fd0e54bfaeb1f46adfe2ac0a

Observation abfd4bef-c8d1-4783-957a-981357c53e62 · outbound

This paper cites Selective convolutional descriptor aggregation for fine-grained image retrieval.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Selective convolutional descriptor aggregation for fine-grained image retrieval

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.366852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.160039Z digest=sha256:eee46b580d734fe8a7066c6e36e5e0ed14e76526d1d42cf365637bcb942ffe87

Observation c445ffd2-a26a-4a77-a279-19fb2e2cd22c · outbound

This paper cites Attribute-aware deep hashing with self- consistency for large-scale fine-grained image retrieval.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Attribute-aware deep hashing with self- consistency for large-scale fine-grained image retrieval

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.356681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.164439Z digest=sha256:12a34f40cc07865a70f8670c2fa6b2ca27306e10540d7cd1a0bc70161249b45f

Observation bf682e88-da2e-479c-9463-f1b99c2b5145 · outbound

This paper cites an unresolved cited work.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:34:14.347084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.168706Z digest=sha256:b2cf19de36e5d7d08bcc0f2afc2f6fd9502f2e73dbaf0e5495b115fb1dcc7a6d

Observation efe9055b-8ea0-4a8a-9671-101815fdcbd5 · outbound

This paper cites Hard decorrelated centralized loss for fine-grained image retrieval.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Hard decorrelated centralized loss for fine-grained image retrieval

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.336984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3765f81f-b177-4492-a4d3-474187e12665 · outbound

This paper cites Classification is a strong baseline for deep metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Classification is a strong baseline for deep metric learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.324859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.177580Z digest=sha256:3a8ad972aa6aba27679fe74da59c265155bfb02cc718865406e1b064eb8c2c10

Observation 11905730-e8d6-4847-b23a-51520f4ed67f · outbound

This paper cites Deep compositional metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Deep compositional metric learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.312727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.182551Z digest=sha256:b11660337e8fcf2637ddd4ba49588919ee2630a66c62792253a5e599e4a29973

Observation 5d986ca4-c058-4504-8224-2310dfc8fbd7 · outbound

This paper cites Deep relational metric learning.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Deep relational metric learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.289861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.189666Z digest=sha256:fc4f527b27910c23dca2c17a999a52de581ac5ec9bc7b3eed7e24257cbc4271c

Observation d6998209-abf6-4281-81a5-c7f240cce39d · outbound

This paper cites Centralized ranking loss with weakly supervised localization for fine-grained object retrieval.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Centralized ranking loss with weakly supervised localization for fine-grained object retrieval

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.278616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.192958Z digest=sha256:0ef3b42ec7477f86457cb76edc789af1f1020c90278b2681bd1e2190e3e0b7e7

Observation 5a570c6d-b6ad-46f2-8d43-038d9cb45e2d · outbound

This paper cites Towards optimal fine grained retrieval via decorrelated centralized loss with normalize-scale layer.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Towards optimal fine grained retrieval via decorrelated centralized loss with normalize-scale layer

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.268146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6e0b7937-9f4e-435b-ae2a-b04acc74698c · outbound

This paper cites Joint discriminative and generative learning for person re-identification.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Joint discriminative and generative learning for person re-identification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:34:14.256699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.199734Z digest=sha256:be644ef587fde50afdd4e161d107896cf3740e948abb2ee85e68c0d42c6ecbb6

Observation 74e38af1-421f-4b17-abef-650b03b0c0cf · outbound

This paper cites an unresolved cited work.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Unresolved cited work

Reference 464

Resolution
parse uncertain
no resolver link, observed 2026-08-06T12:34:14.099574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:34:14.099574Z digest=sha256:1f370b97e6395fed23731b56a7f136d11fe03359e21bf4e1d58940041c8ef785

Observation 5fbe878e-76d4-4489-aa15-fc537ecf9b7a · outbound

This paper cites an unresolved cited work.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Unresolved cited work

Reference 5030

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:34:14.409094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.143458Z digest=sha256:5cca8ae17421e2c03c71e62947f1ffb073c1a725cf9534075884eb70fdd8cebd

Observation 4428acb6-a317-4b4d-8b81-1f771549d8dd · outbound

This paper cites an unresolved cited work.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Unresolved cited work

Reference 7717

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:34:14.813592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:13.958517Z digest=sha256:f0e79b7634b0f5b3c78c704a7379ba6de2740d1bffdd904ed7749b719c52b58a

Observation c89f3fd4-ff18-4e0d-a1f6-1587589408ad · outbound

This paper cites an unresolved cited work.

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization Unresolved cited work

Reference 9329

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:34:14.300271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:34:14.186245Z digest=sha256:592b70d1be693a6bf8dbfa43fc723b81df5059ddc3eccf8713133f6c1615b723

Pith citing papers

No inbound Pith citation observations are available.