Paper Citation Record · LEDGER

LVIS: A Dataset for Large Vocabulary Instance Segmentation

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 12 inbound Pith citation observations for arXiv:1908.03195.

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

pith.paper-citation-record.v1
1908.03195 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:26:30.376488Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:54:02.047543Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy33
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 22af5143-6768-4453-8307-46871548a03d · outbound

This paper cites The quantitative study of shape and pattern perception.

LVIS: A Dataset for Large Vocabulary Instance Segmentation The quantitative study of shape and pattern perception

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:31.020602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd40db3e-ce7e-4450-b044-82c78edb03a0 · outbound

This paper cites Stochastic gradient descent tricks.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Stochastic gradient descent tricks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.999182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 512000e1-b9b4-4998-9610-10d23cf22bf0 · outbound

This paper cites Concreteness ratings for 40 thousand generally known english word lemmas.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Concreteness ratings for 40 thousand generally known english word lemmas

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.981498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80d178a5-d857-4e5b-b16a-201be54eec07 · outbound

This paper cites The Cityscapes dataset for semantic urban scene understanding.

LVIS: A Dataset for Large Vocabulary Instance Segmentation The Cityscapes dataset for semantic urban scene understanding

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.965714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 025e2d0c-fd3c-429e-937c-91c8457d4417 · outbound

This paper cites Pedestrian detection: An evaluation of the state of the art.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Pedestrian detection: An evaluation of the state of the art

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.949043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d8c3598-f5ed-4b77-bed9-f3f19c2ed878 · outbound

This paper cites The PASCAL Visual Object Classes (VOC) Challenge.

LVIS: A Dataset for Large Vocabulary Instance Segmentation The PASCAL Visual Object Classes (VOC) Challenge

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.930566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b62b5ba8-d385-4b06-a77f-3da247af2890 · outbound

This paper cites One-shot learning of object categories.

LVIS: A Dataset for Large Vocabulary Instance Segmentation One-shot learning of object categories

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.912572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1be23e7e-521f-4d4b-a783-4c9838fd291c · outbound

This paper cites Detectron.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Detectron

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.895411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86130f44-5570-4233-9d58-677113ec987b · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:30.229604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation becdacaf-daf0-4251-9a7f-7777deb4160c · outbound

This paper cites Low-shot visual recog- nition by shrinking and hallucinating features.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Low-shot visual recog- nition by shrinking and hallucinating features

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.878059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b15624fb-34c8-4607-9d8e-70ccd6f80d83 · outbound

This paper cites Learning from imbalanced data.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Learning from imbalanced data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.861575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e0c1fbc-c445-453e-9346-1e8786538d3b · outbound

This paper cites Mask R-CNN.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Mask R-CNN

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.844534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d21a3b4e-ec28-4c6b-a5f2-b465faee785b · outbound

This paper cites Deep residual learning for image recognition.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Deep residual learning for image recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:30.251690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3df19f-0eec-41fa-861d-85a6184f0f7c · outbound

This paper cites Diagnosing error in object detectors.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Diagnosing error in object detectors

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.815963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df0733f6-4b5e-4b46-9a0f-a872030e907a · outbound

This paper cites Batch normalization: ac- celerating deep network training by reducing internal covariate shift.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Batch normalization: ac- celerating deep network training by reducing internal covariate shift

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.799649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7080016b-2306-4f7c-91d8-92d4bc038c8f · outbound

This paper cites Panoptic segmentation.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Panoptic segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.784163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0838aeb5-c7d4-4df0-a17f-9d695a1b2ab8 · outbound

This paper cites ImageNet classiﬁcation with deep convolutional neural networks.

LVIS: A Dataset for Large Vocabulary Instance Segmentation ImageNet classiﬁcation with deep convolutional neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.769024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abb283d2-d507-420b-bada-a3df0ac6f06a · outbound

This paper cites The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale.

LVIS: A Dataset for Large Vocabulary Instance Segmentation The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:30.276891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19b1e0f1-06cf-417c-a6d5-eebeaedc60a1 · outbound

This paper cites Backpropagation applied to handwritten zip code recog- nition.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Backpropagation applied to handwritten zip code recog- nition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.753487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dd89f8e-44bc-435e-995b-19b6aadc699e · outbound

This paper cites an unresolved cited work.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:30.737947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b977c7b0-026b-474f-b0c6-87d86a634055 · outbound

This paper cites Reproducible research and the common task method.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Reproducible research and the common task method

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.722528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db5092bb-9f67-4f40-aad6-665e36b5859f · outbound

This paper cites Feature pyramid networks for object detection.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Feature pyramid networks for object detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.705936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85793245-501a-4866-8498-c569a5fc024c · outbound

This paper cites Microsoft COCO: Common objects in context.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Microsoft COCO: Common objects in context

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.689744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a8a6790-88ac-4eed-88fc-851adcf06e8f · outbound

This paper cites COCO detection evaluation.

LVIS: A Dataset for Large Vocabulary Instance Segmentation COCO detection evaluation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.673586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2cb96b27-fdb0-45d3-8466-303e7b2cb599 · outbound

This paper cites Exploring the limits of weakly supervised pre- training.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Exploring the limits of weakly supervised pre- training

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.657771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80431c8e-7670-4602-9c0b-6781d24a58e2 · outbound

This paper cites A database of human segmented natural images and its ap- plication to evaluating segmentation algorithms and measuring ecological statistics.

LVIS: A Dataset for Large Vocabulary Instance Segmentation A database of human segmented natural images and its ap- plication to evaluating segmentation algorithms and measuring ecological statistics

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.641675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c1bda09-1545-4569-9d6f-f0e27800b112 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Efficient Estimation of Word Representations in Vector Space

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:30.321450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd4a74a-3861-4f27-8ce3-0c8b83f91ac7 · outbound

This paper cites WordNet: An electronic lexical database.

LVIS: A Dataset for Large Vocabulary Instance Segmentation WordNet: An electronic lexical database

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.626104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a6b770f-d34c-4997-9c7e-aed1c3eb3dde · outbound

This paper cites The mapillary vistas dataset for semantic under- standing of street scenes.

LVIS: A Dataset for Large Vocabulary Instance Segmentation The mapillary vistas dataset for semantic under- standing of street scenes

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.609044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7db54e6-66d8-4b5d-ade6-ce8ad4218959 · outbound

This paper cites Berg, and Li Fei-Fei.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Berg, and Li Fei-Fei

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.592922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29769abf-0316-4f3b-ba7d-b5d7a850b64c · outbound

This paper cites Labelme: a database and web-based tool for image annotation.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Labelme: a database and web-based tool for image annotation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.576663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66b3e104-769b-437e-afb4-0ff1e7d2744b · outbound

This paper cites Relay backprop- agation for effective learning of deep convolutional neural net- works.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Relay backprop- agation for effective learning of deep convolutional neural net- works

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.561704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 565b74b4-8448-455b-9e40-316fe300c449 · outbound

This paper cites Measuring and predicting im- portance of objects in our visual world.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Measuring and predicting im- portance of objects in our visual world

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.546144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 129513a7-102e-4688-bb7c-5c3a86e4b3b0 · outbound

This paper cites The iNaturalist species classiﬁcation and detection dataset.

LVIS: A Dataset for Large Vocabulary Instance Segmentation The iNaturalist species classiﬁcation and detection dataset

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.529395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08d33c1a-cfe3-4237-92f6-3871854131f3 · outbound

This paper cites SUN database: Large-scale scene recognition from abbey to zoo.

LVIS: A Dataset for Large Vocabulary Instance Segmentation SUN database: Large-scale scene recognition from abbey to zoo

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.513835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 894617a8-5cb4-4c1d-a434-92d61e40fca6 · outbound

This paper cites Aggregated residual transformations for deep neu- ral networks.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Aggregated residual transformations for deep neu- ral networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.497083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f621bd2d-46bf-4771-ad72-68b57c0faf52 · outbound

This paper cites Semantic understanding of scenes through the ADE20K dataset.

LVIS: A Dataset for Large Vocabulary Instance Segmentation Semantic understanding of scenes through the ADE20K dataset

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.481551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fabc16d5-030c-41ee-83df-7ee66755429b · outbound

This paper cites The psycho-biology of language: An in- troduction to dynamic philology.

LVIS: A Dataset for Large Vocabulary Instance Segmentation The psycho-biology of language: An in- troduction to dynamic philology

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:30.465541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 0de09ca6-2158-4e62-8970-f7db73214571 · inbound

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities? cites this paper.

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities? LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T04:54:02.047543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3254e4a8-ed4d-46f4-a1e4-25c0826b1c07 · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:18.556765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93ff7001-b557-438b-82fa-bf2f25bb6e80 · inbound

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives cites this paper.

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T20:20:32.793139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5e9856-c368-4471-9a8c-5fb1e27e52fc · inbound

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension cites this paper.

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T03:30:33.083235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5815db9b-2bc9-40e1-a26f-590faca6f96c · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:33:16.792394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 076b1f55-f9db-424a-994b-0f7be589522b · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:49:29.300782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfb072c6-5ed3-49df-ac36-426ab9e27884 · inbound

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance cites this paper.

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:05:59.973420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 507e92af-3a0c-4325-a6fa-20defe69b3c7 · inbound

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation cites this paper.

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:24:02.585945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73b92fec-f33a-47d3-ad0c-8f14f21cd7ff · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:47:23.252953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19135c46-5975-46c0-8322-f922c6795c85 · inbound

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers cites this paper.

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T21:40:08.279500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97efbf35-5a95-4397-a813-85e5d0da369c · inbound

Data Pyramid for Embodied Manipulation: A Survey cites this paper.

Data Pyramid for Embodied Manipulation: A Survey LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 123

Resolution: unresolved; no resolver link, observed 2026-07-31T06:18:55.532095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa6e2a47-732c-4a40-a727-027ead1d355f · inbound

Room-Mediated Co-occurrence for Zero-Shot Object-Centric Semantic Navigation via Frontier Scoring cites this paper.

Room-Mediated Co-occurrence for Zero-Shot Object-Centric Semantic Navigation via Frontier Scoring LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T02:26:37.999475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.