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Paper Citation Record · LEDGER

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection

As of 9 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2507.00608.

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

pith.paper-citation-record.v1
2507.00608 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:54.887498Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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 exact3
  • verified fuzzy50
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af1a4ab7-a6f9-402d-8efe-2a9731b491e7 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3b5e6bb3-b08e-4d18-83a6-07b39daecff8 · outbound

This paper cites You only look once: Unified, real-time object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection You only look once: Unified, real-time object detection,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 896c16a2-9da1-4103-bd65-754c05049842 · outbound

This paper cites Ssd: Single shot multibox detector,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Ssd: Single shot multibox detector,

Reference 3

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unresolved
no resolver link, observed 2026-08-06T21:20:52.171082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 127749f1-d5b2-4372-bb6f-e7619335072a · outbound

This paper cites Spatially invariant unsupervised object detection with convolutional neural networks,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Spatially invariant unsupervised object detection with convolutional neural networks,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 311a4d04-3eb3-4bd1-9eb0-b0435c556681 · outbound

This paper cites Category dictionary guided unsupervised domain adaptation for object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Category dictionary guided unsupervised domain adaptation for object detection,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:56.050278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 395cedbe-721c-462e-a552-fb35ffe385ed · outbound

This paper cites Shape-adaptive selection and measurement for oriented object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Shape-adaptive selection and measurement for oriented object detection,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 61b89cb0-d4d9-4146-96e2-616c2c71fd84 · outbound

This paper cites Weakly-supervised camouflaged object detection with scribble annotations,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Weakly-supervised camouflaged object detection with scribble annotations,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d75041c5-0444-4fed-a269-2b4d9e299278 · outbound

This paper cites A review and comparative study on probabilistic object detection in autonomous driv- ing,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A review and comparative study on probabilistic object detection in autonomous driv- ing,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:56.003598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f145c794-c378-433a-8417-58bc05332a9a · outbound

This paper cites C2FDA: coarse-to-fine domain adaptation for traffic object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection C2FDA: coarse-to-fine domain adaptation for traffic object detection,

Reference 9

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T21:20:55.424903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:53.535506Z digest=sha256:1b0ce668a3fa3ba71187a256403e1ff3ae84d87a8676ed6f0e78e85462e94b8e

Observation af49373b-254a-471e-a92c-ccad2e3a4712 · outbound

This paper cites Aibm: Accurate and instant background modeling for moving object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Aibm: Accurate and instant background modeling for moving object detection,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.991936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ed410e49-f093-4667-9203-7fa6314f4d69 · outbound

This paper cites A cross-scale and illumination invariance-based model for robust object detection in traffic surveillance scenarios,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A cross-scale and illumination invariance-based model for robust object detection in traffic surveillance scenarios,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.979106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3aa57952-5e57-47f0-b092-f291c2c985c1 · outbound

This paper cites Tfgnet: Traffic salient object detection using a feature deep interaction and guidance fusion,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Tfgnet: Traffic salient object detection using a feature deep interaction and guidance fusion,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.967259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:53.976645Z digest=sha256:8e51b10ff1e4202ce55412f568e3cbf22d2d12cbe0766231530b3d151f276bdc

Observation 35dfcf24-35f6-419d-aa5b-ccddf6081610 · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Domain adaptive faster r-cnn for object detection in the wild,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4cf677a5-d88b-49e0-84bd-89ea9a34896e · outbound

This paper cites Strong-weak distri- bution alignment for adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Strong-weak distri- bution alignment for adaptive object detection,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.944220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 85ffc1b6-b67e-47a0-913a-92f25f455372 · outbound

This paper cites Every pixel matters: Center-aware feature alignment for domain adaptive object detector,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Every pixel matters: Center-aware feature alignment for domain adaptive object detector,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5b55edb1-4a34-4363-bede-c1a456258f65 · outbound

This paper cites Prior-based domain adaptive object detection for hazy and rainy conditions,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Prior-based domain adaptive object detection for hazy and rainy conditions,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4c0e26be-150c-49a4-bfea-ba27cc69a6b7 · outbound

This paper cites Mega- cda: Memory guided attention for category-aware unsupervised domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Mega- cda: Memory guided attention for category-aware unsupervised domain adaptive object detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.656553Z digest=sha256:3e45772cb161289f6fe8d86ffbd1e3e83cb02d743c2f297c1f8f333f75bbdbd6

Observation c37ad82a-8e2d-4e87-9381-a2218a21fb88 · outbound

This paper cites Multi-adversarial faster-rcnn for unrestricted object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Multi-adversarial faster-rcnn for unrestricted object detection,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.697275Z digest=sha256:b4488db22041d1ffe749e9ede607121199cbd2d31ad21ece1bf34169abc94d4a

Observation d47073dd-3685-4bc7-acf1-c9284be6ebc1 · outbound

This paper cites Progressive domain adaptation for object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Progressive domain adaptation for object detection,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 228edf67-d50f-47e2-be8e-2a4336a612bc · outbound

This paper cites Diversify and match: A domain adaptive representation learning paradigm for object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Diversify and match: A domain adaptive representation learning paradigm for object detection,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6f9d2254-563a-4587-acba-803106be17aa · outbound

This paper cites Cross-domain object detection through coarse-to-fine feature adaptation,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cross-domain object detection through coarse-to-fine feature adaptation,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.707591Z digest=sha256:46e462ba8de08c581ec5143f59becb12c124cb29627d385f3edf4f511befb37f

Observation 96ed259b-dcd4-4881-b643-d2eb9e9adf79 · outbound

This paper cites Adapting object detectors via selective cross-domain alignment,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adapting object detectors via selective cross-domain alignment,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d05e1cb6-6cd7-4f29-bb74-ad95008f6258 · outbound

This paper cites Decoupled adaptation for cross-domain object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Decoupled adaptation for cross-domain object detection,

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6b262831-0666-45f5-a032-b61fb8521331 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Sigma: Semantic-complete graph matching for domain adaptive object detection,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.824968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5b10765b-2f05-4c00-8c35-09c2d7d9f71b · outbound

This paper cites Simrod: A simple adaptation method for robust object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Simrod: A simple adaptation method for robust object detection,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ab80cc21-7a8a-4235-86e9-1a5216ad65dc · outbound

This paper cites Automatic adaptation of object detectors to new domains using self-training,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Automatic adaptation of object detectors to new domains using self-training,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eead10ad-1ecb-4c7a-83a0-3c023d0595c3 · outbound

This paper cites A robust learning approach to domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A robust learning approach to domain adaptive object detection,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.790813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7d082410-f322-4fa4-958b-8b0e6f8fa95d · outbound

This paper cites Self-training and adversarial background regularization for unsupervised domain adaptive one-stage object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Self-training and adversarial background regularization for unsupervised domain adaptive one-stage object detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.780880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.730982Z digest=sha256:59897ca6434dfe7a7641f108abcb700b711baa7709400ed2b327249bc5b3bad2

Observation 5bd029ae-98bc-454a-aaf0-916565af07fe · outbound

This paper cites Collaborative training between region proposal localization and classification for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Collaborative training between region proposal localization and classification for domain adaptive object detection,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.771518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.734287Z digest=sha256:28d05516c547b3f39c089beb741504c84e2cbbaf4e8555dc67aa29b6774f519e

Observation ede3c3f8-f089-476d-861b-97c45f9b98a1 · outbound

This paper cites Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.740739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.740739Z digest=sha256:85b48b53f08226a47ba0988cca4ecf274cef07b49f7bdd8aa1222359d0fa70a7

Observation 749a8935-8696-4bcb-959d-d372528dd0bc · outbound

This paper cites an unresolved cited work.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-06T21:20:55.762634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 52dcd5b8-3f2f-4c5b-9890-3dfd0cc9a117 · outbound

This paper cites Robust object detection via instance-level temporal cycle confusion,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Robust object detection via instance-level temporal cycle confusion,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.743543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.747398Z digest=sha256:88e9290db6668490b875a15c49018ced321f6efa50e5a6004a5c728c8fb7eebc

Observation af4bdf36-394c-4870-99f9-57dd90c76e8f · outbound

This paper cites Sstn: Self-supervised domain adapta- tion thermal object detection for autonomous driving,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Sstn: Self-supervised domain adapta- tion thermal object detection for autonomous driving,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.752935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.744360Z digest=sha256:ed1b11279af69701a5945ddb3c7b5dfb22c210758155f405fb86d3364dfdf413

Observation bd02e730-0cc7-48d6-89b7-523cfb2d318a · outbound

This paper cites Sigma++: Improved semantic-complete graph matching for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Sigma++: Improved semantic-complete graph matching for domain adaptive object detection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.727547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.753132Z digest=sha256:666e0e4a00498ff0e4a423172821d37213a255bb292d88ab88d9f9f6fb52222c

Observation e32c4b32-06ca-48dd-bdee-1df854b6dd49 · outbound

This paper cites Cross-domain weakly-supervised object detection through progressive domain adap- tation,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cross-domain weakly-supervised object detection through progressive domain adap- tation,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.750067Z digest=sha256:53b97a21dfd48984ddbb08d71971d9b60ed4c1a6051245acbaec66a561944461

Observation 30a2e046-d669-46b4-af62-7624a65ba7ad · outbound

This paper cites Deep domain adaptation for pavement crack detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Deep domain adaptation for pavement crack detection,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.716979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.759151Z digest=sha256:a77d018cdf50868d83a31137cfae2d19b3aa9a0d45542a1f360727d5fdc0ed3c

Observation 97d691a0-825f-4452-83dc-a4125af7288f · outbound

This paper cites Stepwise domain adaptation (SDA) for object detection in autonomous vehicles using an adaptive centernet,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Stepwise domain adaptation (SDA) for object detection in autonomous vehicles using an adaptive centernet,

Reference 37

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metadata mismatch
raw_fallback, observed 2026-08-06T21:20:55.321596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.756378Z digest=sha256:5fc7f1e5320a714ed101d4cab150a09db1cf7f34d3749572e0069619d7d69468

Observation 5a8fc233-4b32-4b81-8dad-54c6788f790f · outbound

This paper cites Focal loss for dense object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Focal loss for dense object detection,

Reference 38

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unresolved
no resolver link, observed 2026-08-06T21:20:54.765502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.765502Z digest=sha256:177aac8f2ae8fd518f58eb6b53271cf58015cf2f1749e746ab299588b1a4005f

Observation 16a8d562-85d4-4cf5-8fd5-f8dbcd0e026f · outbound

This paper cites Progressive critical region transfer for cross-domain visual object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Progressive critical region transfer for cross-domain visual object detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.707415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.762629Z digest=sha256:92683580656296fce4ff9a7c44581aa973f50326ee42caf5e21603d220356ed2

Observation cb01f0be-723f-40f6-830c-e7465b551156 · outbound

This paper cites Exploring categorical regularization for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Exploring categorical regularization for domain adaptive object detection,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.681044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.772082Z digest=sha256:7b14914fd55f13056de6dba66bd57aed405a6201ee5b0618e776deed3299dac3

Observation b64ff80d-37a1-4eb0-94fc-d1cdd867b288 · outbound

This paper cites Seeking similarities over differences: Similarity-based do- main alignment for adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Seeking similarities over differences: Similarity-based do- main alignment for adaptive object detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.690654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.769435Z digest=sha256:f26d93754f83404843fc7d35167d259d649bfd81743bfe01069079d46950751b

Observation ff568b2c-8cd4-4f60-8434-a99d3d0c6dc9 · outbound

This paper cites Cycle-consistent domain adaptive faster rcnn,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cycle-consistent domain adaptive faster rcnn,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.660707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.778046Z digest=sha256:ebbe83e155d644bc3244374cc9c3e3fc82d6bbcbe452fd8bfec71d103c811719

Observation 01499958-91e1-463e-8dbe-70d663013cae · outbound

This paper cites Adaptive object detection with dual multi-label prediction,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adaptive object detection with dual multi-label prediction,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.670822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.775032Z digest=sha256:d9f6db044bfaabd8bff3d8a724fe7ab9951fca5820ba5fb1430333ef8226602a

Observation f06347ac-78d9-4e76-8046-f16df03f6cc7 · outbound

This paper cites Domain Adaptation for Object Detection via Style Consistency.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Domain Adaptation for Object Detection via Style Consistency

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:20:55.251121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.783877Z digest=sha256:b0e384175a8e1e8de69a17bdced27a2f85cafca38a63b3e75e49c692e1444632

Observation 7baeb4a6-5ea0-4871-9f64-6c4d8d8dd0d6 · outbound

This paper cites Harmonizing transferability and discriminability for adapting object detectors,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Harmonizing transferability and discriminability for adapting object detectors,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.651010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.781139Z digest=sha256:0aa85628890a55e1c5b66670a5abdf703e4f1878abef4bd57e6b2fcbdc3e146c

Observation c85ab115-05df-4b96-bfa6-8bd9a8dfca81 · outbound

This paper cites A Simple Semi-Supervised Learning Framework for Object Detection.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.789838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.789838Z digest=sha256:2d011af8d02de1e14478f8d00c7d76a2449baea8820aa9ac20a48b6568441a77

Observation 2788d87c-86c4-4eb0-9127-0550bb1cc7e5 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adapta- tion,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cycada: Cycle-consistent adversarial domain adapta- tion,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.641579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.787123Z digest=sha256:d1ad3c49f6fa67eb57cb14d8efc2c3a50a61a69009c15d98b7de9a7aa93282c1

Observation f250c14e-db00-48d0-8c48-2f01f417fc17 · outbound

This paper cites St3d: Self-training for unsupervised domain adaptation on 3d object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection St3d: Self-training for unsupervised domain adaptation on 3d object detection,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.620532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.796305Z digest=sha256:e99024e931417d497b2ab7844bbe96b269d3b122f181bf3f5efc1fd3bc353a11

Observation 39c790b9-2444-45a7-9de8-9a7aba86f441 · outbound

This paper cites Instant-teaching: An end- to-end semi-supervised object detection framework,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Instant-teaching: An end- to-end semi-supervised object detection framework,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.630755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.793384Z digest=sha256:3f5bf560c640104024b76d394fbd286f5521f964294042b5b3c9000415af2ebd

Observation 0eeee0a7-0fff-474e-acdb-cd2d42bfb097 · outbound

This paper cites Weighted boxes fusion: Ensembling boxes from different object detection models,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Weighted boxes fusion: Ensembling boxes from different object detection models,

Reference 50

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unresolved
no resolver link, observed 2026-08-06T21:20:54.802212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.802212Z digest=sha256:e8f0a7fd2f2698616c63b621d57c6da9936e45451d126d998bf17ad6bea192ae

Observation 5e160890-fab1-4858-b70f-18b410563084 · outbound

This paper cites End-to-end semi-supervised object detection with soft teacher,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection End-to-end semi-supervised object detection with soft teacher,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.609952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.799216Z digest=sha256:eedcdd4299d2051956c48629691df450082d5e64a69108b4f91c3d1e5ead3108

Observation dfa17090-1fae-42f7-ba33-c48d7c5e3e6f · outbound

This paper cites Soft-nms–improving object detection with one line of code,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Soft-nms–improving object detection with one line of code,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.809009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.809009Z digest=sha256:5d654ad5d9c7f04cd380dae6f5dd6d5e0f14ccc51d49a4cc3ad0b6cc6657b5b4

Observation 02ef099e-ddd9-4d55-b759-9d646f77647d · outbound

This paper cites Efficient non-maximum suppression,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Efficient non-maximum suppression,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.591340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.805725Z digest=sha256:45aac70ee8822253b6d5f42541ea32e3cc2337ec98c30231a98cfc1ab9f1b8ee

Observation bdb0d7fb-1f3a-4743-913d-45601325b88d · outbound

This paper cites ultralytics/yolov5: v1.0 - initial release,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection ultralytics/yolov5: v1.0 - initial release,

Reference 54

Resolution
verified exact
doi, observed 2026-08-06T21:20:54.920121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.815191Z digest=sha256:8e5806d5656a3487cf08db4dab3d6d0a12dc535083a281d8cb94cb329b802f96

Observation c6dcc2fa-a8e3-48e4-a074-45c26068ac98 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Explaining and Harnessing Adversarial Examples

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.812033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.812033Z digest=sha256:a00f3908c6fc1a46233cb2b91dd6468f4d1425d9f19dd62f566bc4d207a7618d

Observation 1b0fc73d-7f03-4866-b86b-844f8f0f0c20 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection The pascal visual object classes (voc) challenge,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.568221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.821783Z digest=sha256:78dcb637b1dad383db524acb0c6b599e7ae1ee600a74839cf11ec9d468be3a32

Observation 0de0eb02-4a21-4335-b7bf-453b832c8d02 · outbound

This paper cites Microsoft coco: Common objects in context,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Microsoft coco: Common objects in context,

Reference 57

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unresolved
no resolver link, observed 2026-08-06T21:20:54.818956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.818956Z digest=sha256:2e8fb5404fce5874128c803b0a0f6b2d9e97485640704e7efec1846f1011540f

Observation e6134df6-bb8d-4c48-ab6d-015166b51c74 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection The cityscapes dataset for semantic urban scene understanding,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.827851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.827851Z digest=sha256:e130b56a2b700081b203e2aed702ec469df66574c0d48f0c148dba4374c8b120

Observation e9f219b6-7163-49d3-9f91-e9118b4580c5 · outbound

This paper cites Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.824578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.824578Z digest=sha256:d59297265f66a6d0d9fb0f27e86bb5659a23b147f8dbc5e8a654bb6ea223d96d

Observation bd6f75a5-8ec6-4e96-93b3-678a10e809fe · outbound

This paper cites SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:20:55.207001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.833232Z digest=sha256:430c38d560788edef0a9ebd4e17c62b11ccb3c172208bd75f091101c1a9c0230

Observation 2ae23858-c681-42d0-8c94-a86ba0ac3958 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 61

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unresolved
no resolver link, observed 2026-08-06T21:20:54.830651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.830651Z digest=sha256:c7453cea55376da9b24b86973a2e63736ffca8cbd161a26466e761f38a301b8a

Observation 8628ed8e-f569-49ba-813e-683f8f3d0367 · outbound

This paper cites Unbiased Teacher for Semi-Supervised Object Detection.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unbiased Teacher for Semi-Supervised Object Detection

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.842159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.842159Z digest=sha256:11c179e7c9f5386a99024b0b42c754c25bee4af02a48f09aa1d09ed227d243e0

Observation 4c6e6f71-5fb6-4c8c-883a-d66c911dcc52 · outbound

This paper cites Domain adaptive object detection via asymmetric tri-way faster-rcnn,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Domain adaptive object detection via asymmetric tri-way faster-rcnn,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.543845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.836631Z digest=sha256:2f8ebd34748f6374bfd2cd20bfb934184752ed446281a8ed390cff736f0e09cc

Observation ad401648-cdd7-4723-baf7-1eb9c8060497 · outbound

This paper cites an unresolved cited work.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unresolved cited work

Reference 64

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unresolved
raw_fallback, observed 2026-08-06T21:20:55.532947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.839382Z digest=sha256:3b2ca389dc55fd12e3f3686fce428f4b2838f99b8bd13f9b584bc239147d3e8d

Observation 1f41e1a8-96cd-45a8-a9f2-50f965bd10c1 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 65

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no resolver link, observed 2026-08-06T21:20:54.851258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.851258Z digest=sha256:ca53f7f8421fbe42d9bf72fb9f2e31887dda68e387df11d4319758e75e6adef6

Observation eab17c34-0f45-4578-a561-9bdc4cfcc03a · outbound

This paper cites Adversarial discrim- inative domain adaptation,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adversarial discrim- inative domain adaptation,

Reference 66

Resolution
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no resolver link, observed 2026-08-06T21:20:54.845281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.845281Z digest=sha256:143e192896bf87955a534e755061b197a27044a9541e063827d6a7a89e4ad4fb

Observation c0e9e359-d866-47f8-a256-9221c3881cd7 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.516611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.848158Z digest=sha256:b75f010bd760525c451e2b85062eed2c14b25f69edb45d9c77bb6afd65a83046

Observation f4c4c543-66e0-4b29-88e2-216dcde072c5 · outbound

This paper cites Multi-level domain adaptive learning for cross-domain detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Multi-level domain adaptive learning for cross-domain detection,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.493241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.860124Z digest=sha256:44254a1e1040df73cd7d918050e95e8c48b3fa781eb9dc92139c49b57a50a45d

Observation eed4f11f-a586-4808-ae3e-d0f0fb3039c2 · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 69

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no resolver link, observed 2026-08-06T21:20:54.853850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.853850Z digest=sha256:c5ee284940bb4b2f83d5169147ee3ac783bb60de71a68040aae47ff1d882f5df

Observation 03303dba-efba-486b-a238-aca74b7ae2f7 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.857173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.857173Z digest=sha256:a414ba1df9cd90dd71058013b8de873fd0e2ebb1cfabdfbc27afee33140b9ef0

Observation 40da94c0-7a2d-41bf-8bc5-330bc3d47999 · outbound

This paper cites Exploring object relation in mean teacher for cross-domain detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Exploring object relation in mean teacher for cross-domain detection,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.459860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.869870Z digest=sha256:fee9c301eb78fa1a2874f353c75cfd62fdea5f92705436ef160b331bc4a151d7

Observation b03ccc99-1729-4ebc-963d-1ace46bd6f6d · outbound

This paper cites Adapting object detectors with conditional domain normalization,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adapting object detectors with conditional domain normalization,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.482462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.863458Z digest=sha256:8b64df2de9db9eb70609ee53d29d623acc6e431527b0b818251669dec02eac62

Observation 18909566-7f28-4236-b0de-e91586cadac0 · outbound

This paper cites Unbiased mean teacher for cross- domain object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unbiased mean teacher for cross- domain object detection,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.470913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.866944Z digest=sha256:e0d49a993f483e305867c8b5e7a6797dc538acfc39bddd306ef84d37d42cf44a

Observation 71f196de-9662-4326-934b-076ef2c21eb9 · outbound

This paper cites Towards robust adaptive object detection under noisy annotations,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Towards robust adaptive object detection under noisy annotations,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.880311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.880311Z digest=sha256:24624063e2cb278ae7fb224e20b47820a51e040e62d5fd20acebdaeaf33c34e1

Observation b056f0cb-4d36-441f-9822-7f6e3df25807 · outbound

This paper cites Knowledge mining and transferring for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Knowledge mining and transferring for domain adaptive object detection,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.447646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.872731Z digest=sha256:988e249601e41e998b761c080a18695b5d801438c7ec7fa901172de38ec7846b

Observation 75de4dd7-f06a-4a24-be4e-3da0c1b1abc3 · outbound

This paper cites Ssal: Synergizing between self-training and adversarial learning for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Ssal: Synergizing between self-training and adversarial learning for domain adaptive object detection,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.436993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.876419Z digest=sha256:974e760f3923c8a8ba0523b2db50ca392aff9e19150d72c2277df3328a6a5b4b

Observation 200988ac-5f24-4d88-834e-705644cf8a8f · outbound

This paper cites Novel scenes & classes: Towards adaptive open-set object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Novel scenes & classes: Towards adaptive open-set object detection,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.883670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.883670Z digest=sha256:3c0acd731eba36cc5a1fc57393ede6446f3f999429d124b6342301cbbfafc099

Observation de8bc822-6d3e-4a84-9c63-b33b0f43dc71 · outbound

This paper cites Decoupled unbiased teacher for source-free domain adaptive medical object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Decoupled unbiased teacher for source-free domain adaptive medical object detection,

Reference 79

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T21:20:55.006813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:54.887498Z digest=sha256:05b5f0074a1c98bf0bebeaa5625aee13fca3f907fc9755d81b85a8e3498a544f

Observation 9fd917fe-3150-4d20-bd4b-f171b96f31f0 · outbound

This paper cites Available: https://ojs.aaai.org/index.php/AAAI/article/ view/19975.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Available: https://ojs.aaai.org/index.php/AAAI/article/ view/19975

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:56.027765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:20:52.710094Z digest=sha256:b797518219dcf6a067885565baea91f045e2a2c1ef9bdd24bebeb755f2d0fafb

Pith citing papers

No inbound Pith citation observations are available.