Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:44:15.446070Z
Paper Citation Record · LEDGER
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision
As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.07460.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy42
- unresolved3
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 518d857f-fd9b-4bf4-a45c-5c55a6d02727 · outbound
This paper cites Maskomaly: Zero-shot mask anomaly segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Maskomaly: Zero-shot mask anomaly segmentation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.915030Z
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.
Observation b32b38d7-7a44-4552-ad74-09a935c19732 · outbound
This paper cites Anomaly detection in autonomous driving: A survey.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Anomaly detection in autonomous driving: A survey
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.905474Z
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.
Observation 206e9715-720c-48b6-90f6-55899ca9e450 · outbound
This paper cites Seg- mentmeifyoucan: A benchmark for anomaly segmen- tation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Seg- mentmeifyoucan: A benchmark for anomaly segmen- tation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.895839Z
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.
Observation 0e857677-b9d5-4dc0-9462-f0b143b94af8 · outbound
This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Encoder-decoder with atrous separable convolution for semantic image segmentation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.886455Z
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.
Observation 642ba716-d2ce-436c-a5c8-20056bab154d · outbound
This paper cites an unresolved cited work.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:44:15.876731Z
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.
Observation e6fa8ffa-10d5-42b3-91e5-7259ece34767 · outbound
This paper cites Per-pixel classification is not all you need for seman- tic segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Per-pixel classification is not all you need for seman- tic segmentation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.867674Z
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.
Observation 41edaaa3-2348-4edf-84d6-3771b9fba003 · outbound
This paper cites Masked- attention mask transformer for universal image seg- mentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Masked- attention mask transformer for universal image seg- mentation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.858047Z
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.
Observation 3a1a3556-66d4-47c0-8b45-a8a7ec61f413 · outbound
This paper cites Outlier detection by ensembling uncertainty with negative ob- jectness.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Outlier detection by ensembling uncertainty with negative ob- jectness
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.848435Z
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.
Observation 3c62af42-6aac-461d-824f-9b4c18f02ee8 · outbound
This paper cites Imagenet: A large-scale hierarchi- cal image database.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Imagenet: A large-scale hierarchi- cal image database
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.829637Z
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.
Observation 81870bc7-31f0-4415-8e19-21904a811e4d · outbound
This paper cites Exploring the limits of out-of-distribution detection.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Exploring the limits of out-of-distribution detection
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.820052Z
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.
Observation 64f79d28-57ca-491c-949e-a35000a73cee · outbound
This paper cites Generalize or detect? towards ro- bust semantic segmentation under multiple distribu- tion shifts.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Generalize or detect? towards ro- bust semantic segmentation under multiple distribu- tion shifts
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.810688Z
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.
Observation 35fa3733-2016-4557-a68c-8a77ca99e37c · outbound
This paper cites Densehybrid: Hybrid anomaly detection for dense open-set recognition.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Densehybrid: Hybrid anomaly detection for dense open-set recognition
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.801597Z
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.
Observation f81d08c5-b9a0-4cf0-b901-7433efb77b66 · outbound
This paper cites Deep residual learning for image recognition.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Deep residual learning for image recognition
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.792311Z
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.
Observation ba67d641-7db2-4f20-9e4f-25a8740416d6 · outbound
This paper cites Unleashing multispectral video’s po- tential in semantic segmentation: A semi-supervised viewpoint and new UA V-view benchmark.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Unleashing multispectral video’s po- tential in semantic segmentation: A semi-supervised viewpoint and new UA V-view benchmark
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.783313Z
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.
Observation a510214e-72fe-4549-9a39-bf025cba181e · outbound
This paper cites Segment anything.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Segment anything
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.774084Z
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.
Observation ae46a246-489e-455c-8709-45aef81c0f24 · outbound
This paper cites Saliencymix+: Noise-minimized image mixing method with saliency map in data aug- mentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Saliencymix+: Noise-minimized image mixing method with saliency map in data aug- mentation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.765500Z
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.
Observation bf30ab53-0c83-4d69-bf4d-00ae81b81cd8 · outbound
This paper cites Open-set semantic seg- mentation for point clouds via adversarial prototype framework.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Open-set semantic seg- mentation for point clouds via adversarial prototype framework
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.756161Z
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.
Observation 86bbea7d-fb9f-4192-8dcf-57bf643f4225 · outbound
This paper cites an unresolved cited work.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:44:15.746956Z
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.
Observation fcbecc7a-dbbe-4060-8876-13051208fe6b · outbound
This paper cites Detecting the unexpected via image resynthesis.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Detecting the unexpected via image resynthesis
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.737353Z
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.
Observation d07758e4-e11c-4ffd-9549-7cdd99e991e5 · outbound
This paper cites Residual pattern learning for pixel-wise out- of-distribution detection in semantic segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Residual pattern learning for pixel-wise out- of-distribution detection in semantic segmentation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.727760Z
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.
Observation a6f87e45-8eb6-4d49-a2de-430a5103b08b · outbound
This paper cites Swin 9 transformer: Hierarchical vision transformer using shifted windows.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Swin 9 transformer: Hierarchical vision transformer using shifted windows
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.717587Z
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.
Observation a93befcb-679b-4d78-ba2f-93799af77976 · outbound
This paper cites Towards ac- curate unified anomaly segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Towards ac- curate unified anomaly segmentation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.707442Z
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.
Observation 772821e7-f62d-4a6b-bd4f-7bc2e613803c · outbound
This paper cites Rba: Segmenting unknown regions re- jected by all.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Rba: Segmenting unknown regions re- jected by all
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.698213Z
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.
Observation 7bb42d42-5542-4a13-b4c8-6d7276ef3d61 · outbound
This paper cites A novel method of predictive collision risk area estimation for proac- tive pedestrian accident prevention system in urban surveillance infrastructure.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision A novel method of predictive collision risk area estimation for proac- tive pedestrian accident prevention system in urban surveillance infrastructure
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.689420Z
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.
Observation 0a98c2be-9906-4a8a-8c1b-94a0c6426e04 · outbound
This paper cites Vision-based potential pedestrian risk analysis on unsignalized crosswalk using data mining techniques.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Vision-based potential pedestrian risk analysis on unsignalized crosswalk using data mining techniques
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.679545Z
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.
Observation 9d0d73a9-470b-438f-a81d-40e5b71cee7f · outbound
This paper cites Unmasking anomalies in road-scene segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Unmasking anomalies in road-scene segmentation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.670160Z
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.
Observation 7db49538-9044-4f39-9b08-50054cd1ef7f · outbound
This paper cites SAM 2: Segment anything in images and videos.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision SAM 2: Segment anything in images and videos
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.660254Z
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.
Observation 4e503cd0-c5a6-4c22-9ffc-7eec4abbc54e · outbound
This paper cites U-net: Convolutional networks for biomedical im- age segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision U-net: Convolutional networks for biomedical im- age segmentation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.650557Z
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.
Observation c9bb356a-019c-4c7e-ba59-c0849920f052 · outbound
This paper cites Quantification of uncertainty with adversarial models.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Quantification of uncertainty with adversarial models
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.641188Z
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.
Observation 8ebccc5b-68fd-489f-9c6c-541e337c4641 · outbound
This paper cites Open-world semantic segmentation including class similarity.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Open-world semantic segmentation including class similarity
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.631647Z
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.
Observation b5b108ac-8310-488a-adce-842536956bb3 · outbound
This paper cites Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distil- lation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distil- lation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.621898Z
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.
Observation b098ce2f-4156-4d05-9465-38d26721343e · outbound
This paper cites Pixood: Pixel-level out-of-distribution detection.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Pixood: Pixel-level out-of-distribution detection
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.612022Z
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.
Observation 97fd2160-70c8-4735-a5fe-1189e8f3ad96 · outbound
This paper cites Semflow: Bind- ing semantic segmentation and image synthesis via rectified flow.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Semflow: Bind- ing semantic segmentation and image synthesis via rectified flow
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.602417Z
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.
Observation 3cb44568-9f70-4265-b795-16f6782ead20 · outbound
This paper cites Segrefiner: Towards model-agnostic segmentation refinement with discrete diffusion process.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Segrefiner: Towards model-agnostic segmentation refinement with discrete diffusion process
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.592268Z
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.
Observation 35fcca46-2b9a-43d2-a7e4-c2d582314a51 · outbound
This paper cites Toward real ultra image segmentation: Leveraging surround- ing context to cultivate general segmentation model.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Toward real ultra image segmentation: Leveraging surround- ing context to cultivate general segmentation model
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.582891Z
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.
Observation bf83edff-41bf-4852-a286-1ca06f03536e · outbound
This paper cites Conditional boundary loss for semantic segmentation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Conditional boundary loss for semantic segmentation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.573270Z
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.
Observation 281c2f70-552c-4133-9754-ee8cb126c172 · outbound
This paper cites 3d open-vocabulary panoptic segmen- tation with 2d-3d vision-language distillation.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision 3d open-vocabulary panoptic segmen- tation with 2d-3d vision-language distillation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.563611Z
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.
Observation ba3459bf-ec93-4940-a839-c63bbea87c1d · outbound
This paper cites Barlow twins: Self-supervised learn- ing via redundancy reduction.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Barlow twins: Self-supervised learn- ing via redundancy reduction
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.554313Z
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.
Observation d60754d7-aeea-468b-91f9-834d3190110a · outbound
This paper cites Faster segment anything: Towards lightweight sam for mobile applications, 2023.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Faster segment anything: Towards lightweight sam for mobile applications, 2023
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.543608Z
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.
Observation 7abaa36b-e146-4ce6-8dd6-b16e0228a9c3 · outbound
This paper cites Csl: Class-agnostic structure- constrained learning for segmentation including the unseen.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Csl: Class-agnostic structure- constrained learning for segmentation including the unseen
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.532559Z
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.
Observation 866a72e9-cc94-4bdd-af9e-5c4dc7720a3d · outbound
This paper cites Pyramid scene parsing network.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Pyramid scene parsing network
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.522703Z
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.
Observation 9296cf1a-4d53-4f05-8f6f-dc1e85535579 · outbound
This paper cites Segment every out-of-distribution object.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Segment every out-of-distribution object
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.512866Z
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.
Observation dd39f87b-197a-4fcb-a25c-ca16104d728f · outbound
This paper cites Fast Segment Anything.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Fast Segment Anything
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.439108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64b4d372-7830-4483-9649-0b6948b5a071 · outbound
This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.502564Z
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.
Observation 08cd738e-02d7-4a39-a72f-da2958415b79 · outbound
This paper cites Deformable {detr}: De- formable transformers for end-to-end object detection.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Deformable {detr}: De- formable transformers for end-to-end object detection
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.491374Z
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.
Observation d0810d2d-0d8a-4193-af1e-c5c4a830101a · outbound
This paper cites an unresolved cited work.
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Unresolved cited work
Reference 2024
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-06T18:44:15.839226Z
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.
Pith citing papers
No inbound Pith citation observations are available.