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Paper Citation Record · LEDGER

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2411.14179.

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

pith.paper-citation-record.v1
2411.14179 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:31:10.831070Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 508fdb05-eda7-4475-bb11-2d8a5642d752 · outbound

This paper cites 3d instance segmentation via enhanced spatial and semantic supervision.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation 3d instance segmentation via enhanced spatial and semantic supervision

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.626810Z digest=sha256:71fb694cacb41b0cbb334bee06112e24e2e6857f16ffb2697742c2520d9e8a3f

Observation 5928199d-9921-4118-8f98-b4feacb642c3 · outbound

This paper cites 3d seman- tic parsing of large-scale indoor spaces.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation 3d seman- tic parsing of large-scale indoor spaces

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.513416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.632609Z digest=sha256:ca7ba8f74d9b54803f0245554022b98b4e611692b43f1fc8c9537c1cdb70d3b0

Observation 488e011b-100d-46b3-a34b-88e29a851d66 · outbound

This paper cites Align-detr: Improving detr with sim- ple iou-aware bce loss, 2023.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Align-detr: Improving detr with sim- ple iou-aware bce loss, 2023

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.497018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.637983Z digest=sha256:68b9ccbcd0c4282004bf163c1686cee173919cdd89c42a475a54a3ced5413c39

Observation bed4bbb4-1f08-4c6a-9221-7809d90314e3 · outbound

This paper cites Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset

Reference 4

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raw_fallback, observed 2026-08-12T15:31:11.479535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.643415Z digest=sha256:d53cd56cae465273f1e30840d51ba25598fc5e5f6a8a88c072e92600ba141bea

Observation a342baa7-5658-4465-aa04-ea72d0792f2b · outbound

This paper cites Hierarchical aggregation for 3d instance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Hierarchical aggregation for 3d instance segmentation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.648812Z digest=sha256:65f68347aff53e417d9df91dfb169ff9513332f1177ee696c47800c4ae15498e

Observation 68435a25-78be-47b4-807c-7e75d35930ce · outbound

This paper cites Schwing, Alexan- der Kirillov, and Rohit Girdhar.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Schwing, Alexan- der Kirillov, and Rohit Girdhar

Reference 6

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no resolver link, observed 2026-08-12T15:31:10.653742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.653742Z digest=sha256:491b8b568c393aa99851c37b64049f0888d665060f1885056f37d4b9930661f6

Observation 172f2f7b-4984-4904-8404-bd265e8c11da · outbound

This paper cites Box2mask: Weakly supervised 3d se- mantic instance segmentation using bounding boxes.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Box2mask: Weakly supervised 3d se- mantic instance segmentation using bounding boxes

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.439601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.659138Z digest=sha256:6ca274125e630ce2ff89780c2b0521592ef470e82df8390612a39b7b3ebad1e9

Observation 77487797-88af-4f2f-afef-4b2d8ef38740 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 8

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raw_fallback, observed 2026-08-12T15:31:11.422781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.664082Z digest=sha256:017b158e217b395aa6db104755ebd9c75db11adbe69d848252cfb36ec16ac9e9

Observation 8052e413-3a50-4095-acb4-4090c79f2e10 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 9

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unresolved
no resolver link, observed 2026-08-12T15:31:10.669650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.669650Z digest=sha256:d3853bc973ef1d6c19ef55e8f7d456a74716a1ee278fa67347c29b3a87b540ea

Observation 167fcacb-851c-4e84-87a3-7b498a4dfabd · outbound

This paper cites 3d-mpa: Multi-proposal ag- gregation for 3d semantic instance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation 3d-mpa: Multi-proposal ag- gregation for 3d semantic instance segmentation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.394084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.674903Z digest=sha256:212cd801eb6f7f5d38602ce4f81d11604d07c97da4e819ec73ec2ba2f594984e

Observation 55b6f604-7041-485c-9a4f-ac9cdfcefabd · outbound

This paper cites Tood: Task-aligned one-stage object detec- tion.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Tood: Task-aligned one-stage object detec- tion

Reference 11

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raw_fallback, observed 2026-08-12T15:31:11.377304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.679753Z digest=sha256:24a06230653e24d2a7bfa71f0b26fc21093d9ed275af313ba6a19b9d213f6798

Observation 876b97a7-c4b6-4d45-bb13-6cba7881f23c · outbound

This paper cites Ease-detr: Easing the competition among object queries.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Ease-detr: Easing the competition among object queries

Reference 12

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raw_fallback, observed 2026-08-12T15:31:11.360084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.684669Z digest=sha256:55db74e10f6f15e8dfffeaa70376f310ae4aa01d9cbb8a9aad1033c90abe2104

Observation c22f8280-b824-46ef-85fe-1dda9108addb · outbound

This paper cites DyCo3d: Robust instance segmentation of 3d point clouds through dynamic convolution.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation DyCo3d: Robust instance segmentation of 3d point clouds through dynamic convolution

Reference 13

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.342904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.690291Z digest=sha256:146098f916b2a56d07bd67e8444e8d724e460b32748e440250bfadae86fd9410

Observation 7deec52f-534a-4c2c-ab97-f12eb2d9f709 · outbound

This paper cites 3d-sis: 3d se- mantic instance segmentation of rgb-d scans.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation 3d-sis: 3d se- mantic instance segmentation of rgb-d scans

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T15:31:10.695540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.695540Z digest=sha256:33e526284a5e425359391464c17d89d7c8654bc261b4f33212563f25344679f6

Observation 800af8c0-b6f2-422e-85ea-5f2e0e215237 · outbound

This paper cites Pointgroup: Dual-set point grouping for 3d instance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Pointgroup: Dual-set point grouping for 3d instance segmentation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.313716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.700452Z digest=sha256:d510be1c0a5004187c62be912c762d359b1b1fac799b92cdb6f3f2d51c83770f

Observation dd7f8876-7b7c-4bd3-b859-f733655711bd · outbound

This paper cites Oneformer3d: One transformer for unified point cloud segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Oneformer3d: One transformer for unified point cloud segmentation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.705143Z digest=sha256:89b52734a97a81f412faab069b4a18b235d9144ccadf1452ef53a66a43697e45

Observation 44a42240-4f85-42ca-adbb-6094e0de5359 · outbound

This paper cites Top-down beats bottom-up in 3d in- stance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Top-down beats bottom-up in 3d in- stance segmentation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.277828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.710051Z digest=sha256:aa26bfa2e1bd191b7db6b049c1274589b4a6e84e4960ea5724f8a6a4057ebdcf

Observation 3378b172-ae50-4df3-b9a8-48905c4a2d6a · outbound

This paper cites Mask-attention-free transformer for 3d in- stance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Mask-attention-free transformer for 3d in- stance segmentation

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.715099Z digest=sha256:0444e344d7327a2b8a8259b16555aee470233141bfec5faf4f9df1a1f3d136b1

Observation f17e724b-80c4-4160-96e5-f659c7c463f3 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Large-scale point cloud semantic segmentation with superpoint graphs

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.247233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.720039Z digest=sha256:fda5a79ea0e733a31317bccd67ab55f7cb1d463b6a9c95be72ffe40592b9e4b7

Observation 29977192-b6e8-4f19-b277-ceec8ae39684 · outbound

This paper cites Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.227670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.724844Z digest=sha256:b345b8d7ca6833319a2885105ac8ae9a4656f41f527e1fa395b666094f9505ef

Observation 5e173810-4b9e-4104-b3ea-f6c526c32b8b · outbound

This paper cites Clustseg: Clustering for universal segmentation,.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Clustseg: Clustering for universal segmentation,

Reference 21

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.210198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.730013Z digest=sha256:31efb8f42529aa2b9398b925f2b910649484d932bf25039dd81814d62a177a6e

Observation ed1141ad-8eb0-4a2a-bbee-3c747efa8fe6 · outbound

This paper cites Instance segmentation in 3d scenes using semantic superpoint tree networks.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Instance segmentation in 3d scenes using semantic superpoint tree networks

Reference 22

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.190657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.735294Z digest=sha256:a961e74d8a793e34cf238d1cf1f0750de202f8a859a6c72f21234ab0b49d7374

Observation 48dbfc39-545d-443c-a151-325cb8b7245a · outbound

This paper cites Query refinement transformer for 3d in- stance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Query refinement transformer for 3d in- stance segmentation

Reference 23

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.173578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.740146Z digest=sha256:dfe62144aba15b3139267c62dca638fa9b4100c78b2eb8621b46a6de2e8af934

Observation e351c70d-42f9-461a-9aa3-828aea9a19c1 · outbound

This paper cites SPFormer: Enhancing vision transformer with superpixel representation, 2024.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation SPFormer: Enhancing vision transformer with superpixel representation, 2024

Reference 24

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.155701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.745044Z digest=sha256:a0c0d33ed76ee1770a21bc535dd1b60596810650790ed2843c799b6259161cbc

Observation dc622049-726a-482a-8096-2b21f3be7d1f · outbound

This paper cites Isbnet: a 3d point cloud instance segmentation network with instance- aware sampling and box-aware dynamic convolution.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Isbnet: a 3d point cloud instance segmentation network with instance- aware sampling and box-aware dynamic convolution

Reference 25

Resolution
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no resolver link, observed 2026-08-12T15:31:10.750033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.750033Z digest=sha256:f4139fb8da20f860f91b13f6ca2632754914da776bea7abc796af33b144c7b8d

Observation 53a5effe-b891-40d0-b12c-a687a53cdcae · outbound

This paper cites Rank-detr for high quality object detection.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Rank-detr for high quality object detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.124416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.754936Z digest=sha256:a1d2d25e39c690e1f4b75df4422186adf697bd088a6cfd06ef4208583a474823

Observation 5ff0e472-0666-4c65-be4d-6b978e8a19ad · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Language- grounded indoor 3d semantic segmentation in the wild

Reference 27

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.107623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.759968Z digest=sha256:82db8ccb47130e1c059d8393d76c21b5ae27f294ed50746185399e1ed9e50a36

Observation f696ecc6-e668-4c4d-8e47-725878bbcc30 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.090367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.764976Z digest=sha256:0eb46dce1975e5a6bc44a4562a735999b4df66d0f4d6ba1db23158f9ec9b859d

Observation b6faf65f-cabd-470c-be35-e2536ca45183 · outbound

This paper cites Spherical mask: Coarse-to- fine 3d point cloud instance segmentation with spherical rep- resentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Spherical mask: Coarse-to- fine 3d point cloud instance segmentation with spherical rep- resentation

Reference 29

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.073553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.770122Z digest=sha256:05c600913d43487ed46242d56fc8076d03a9266046cee698f8635d1ab9806604

Observation f91a2efd-5c20-45ae-a3fd-476aa0f5cd21 · outbound

This paper cites Superpoint transformer for 3d scene instance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Superpoint transformer for 3d scene instance segmentation

Reference 30

Resolution
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raw_fallback, observed 2026-08-12T15:31:11.056324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.775344Z digest=sha256:a32314288bf42bff60750b062679fa79285fc89053341adbe51e473675a7b17c

Observation 8337219b-58ab-497a-a1f9-6a780c8eb3c1 · outbound

This paper cites Neuralbf: Neural bilateral filtering for top- down instance segmentation on point clouds.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Neuralbf: Neural bilateral filtering for top- down instance segmentation on point clouds

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.035670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.781065Z digest=sha256:0913be6831fd33acf66f89e2e424a35867ae94bb7f6bf966e0710cb73c534841

Observation 1d477bd1-f3d2-48de-8fe2-7a61ef3e0c5d · outbound

This paper cites Softgroup for 3d instance segmentation on point clouds.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Softgroup for 3d instance segmentation on point clouds

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:11.015638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.786045Z digest=sha256:b3d76ac9315b6aa9824180d99c704a3ba6150c762f2fbce25cf6b96d4acd8c14

Observation 355295b6-5a5c-4576-b528-041131a5113d · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Groupvit: Semantic segmentation emerges from text supervision

Reference 33

Resolution
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raw_fallback, observed 2026-08-12T15:31:10.996169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.791260Z digest=sha256:f0a53807b5a7d76783dd0a014381f3c9f2bbb2587011dab0279df836de34b67e

Observation c77b4155-c1d0-4b78-8daf-996b7dc21dfb · outbound

This paper cites Learning ob- ject bounding boxes for 3d instance segmentation on point clouds.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Learning ob- ject bounding boxes for 3d instance segmentation on point clouds

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:10.978798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 206a572e-9f20-4879-a934-a61f1314445a · outbound

This paper cites an unresolved cited work.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:31:10.961649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.801445Z digest=sha256:7d4d53f2daf3b34a4cd297c19eece60f1cbb2b52fa36587d7ea6b9ad253eb3c2

Observation 5ccc4725-3bfa-449e-88b2-10283d2bc6bd · outbound

This paper cites Cmt-deeplab: Clustering mask transformers for panoptic segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Cmt-deeplab: Clustering mask transformers for panoptic segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:10.944130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.806571Z digest=sha256:9c94a8ba16ddf6872eae5416b3347e8a49015a5b35fc07b0d3fc59456d8f498e

Observation c6c88613-14be-468b-85c2-6a7876d4f01a · outbound

This paper cites k-means mask transformer.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation k-means mask transformer

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T15:31:10.814440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.814440Z digest=sha256:fec01034d6906dc4628f478a0038ed89f557d036d7fe684af258ad9de52920f7

Observation 3c1278da-a5a7-4908-a0c2-941f30879261 · outbound

This paper cites Varifocalnet: An iou-aware dense object detector.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Varifocalnet: An iou-aware dense object detector

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:10.915694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.820812Z digest=sha256:1592f7d94cae562303d36d2ed559c4ba87b2617c5422c909e3a20ab2a81935ee

Observation 79e34d65-2060-402f-aa5e-8b65f1e31587 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T15:31:10.825843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:10.825843Z digest=sha256:494846e6f7b26d544456daa44a226b4acdeee3bcba8bd99ab21fd340e3f2a11d

Observation 9e7c743b-ee6c-4359-9531-208b4e1afb59 · outbound

This paper cites Maskgroup: Hierarchical point grouping and masking for 3d instance segmentation.

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation Maskgroup: Hierarchical point grouping and masking for 3d instance segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:31:10.894553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:31:10.831070Z digest=sha256:ff72f5decf3ba516a136ce646cc8baa51a5ed7b46ae7a004ccf6c37fa0b78a93

Pith citing papers

No inbound Pith citation observations are available.