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Paper Citation Record · LEDGER

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation

As of 12 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 2026-08-12T06:34:41.77262+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.626810Z digest=sha256:71a83f3524c112e91644d16607423f7079c30804daa14abf8996cdf5c5641cc7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.632609Z digest=sha256:96e2e0d4ac02191f5eb06bda53a48197ee695ae22c3758406be57a361bff8a01

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.637983Z digest=sha256:a54bcd652b2bf880a53157563894a4ea449686b9173a6fb116fdc4e8375173d5

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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verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.643415Z digest=sha256:5afa2aae172eeea9357f4d422f1f6b7b072ab5f5deb93a35b552af7b0dba9338

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.659138Z digest=sha256:5c0ed3712eab4eb0607af19726cb94e3c7add8ca49756fe7c5bdd3ba3f0b6fe3

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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verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.664082Z digest=sha256:10e9f6202c0a6d04f8ee918e05dc0c4a1de367231133f8f9d4b62ef937dac3a1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.674903Z digest=sha256:d6f7bda0686aeef8f7005986f3d9459b7aaf0d7a6f51b330e27ca29b0cad32d8

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

Resolution
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.679753Z digest=sha256:d2f7c0b1cd897a33ebc393408d053adf708f90f66f67523b4b551f6bd009ed38

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

Resolution
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.684669Z digest=sha256:c7c79e1894724b5956c96cddb7ff56460277a382e678c00c1fc2fa327d2ff7c8

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.690291Z digest=sha256:8bbe6ad9b608d6fc353d199cbf210babccb1b0b99bba068cc07919613c10d19b

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.700452Z digest=sha256:a9db952019fe84f358b531ffa4c02cc02dbf178238753f087e8dc3d38d805659

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.705143Z digest=sha256:57f37c790c79ac24a9978c8aadb9af611324e7e0965bda25beeca0154b097457

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.710051Z digest=sha256:fa0af84d37f9b58a188826a7dbb9f75e5ad4300e08a16b9f588ec941e15952af

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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no resolver link, observed 2026-08-12T15:31:10.715099Z

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.720039Z digest=sha256:b835ee83dc55b5a3f9becee5f22b6aa815ebfcf300489f4ff57f0c4cfb684c40

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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.724844Z digest=sha256:f73be44bafcc83c89cba2168650029a2197990a6d55943bc2b462e8ebd692769

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.730013Z digest=sha256:6c8ff9775543a5bb41e73b650aca336274e7c9a6bf8fb88282b6ac10f3b04f6d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.735294Z digest=sha256:12417133ced4b19662938ed46abee57f32d6f65ac93e667ac4858a183cdbb7eb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.740146Z digest=sha256:dc57d82036f7a23d659b9552cb8d2195da049c970a2c7f803354c2fda51f72d6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.745044Z digest=sha256:3e434ddaa30e60908a249e2fceb1c21e4388d910bd87dc59c0cac087a0ab54a6

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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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.754936Z digest=sha256:e2561e66dbf61121ce7331e5db79d34c2406410efb31c1483e2352dd25424f83

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
verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.759968Z digest=sha256:639d6d559a8d9fae0e82ac6b67f2f57e4db731f8e2952b726d2766d364ea59b8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.764976Z digest=sha256:1180c6998d518862c8870d11d0b1a0bcf4138043718d50ba71ec3a5509235d07

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.770122Z digest=sha256:ed5da86e87514fbd9ed19e889f11d012cc408077d7588094ea5d47f207f0cd1e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.775344Z digest=sha256:b4458a5513b3808fcfff2ea7a887dad99ab65616736c5842896c4ced23cd921e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.781065Z digest=sha256:c2a9c87c33b626617ecdd7909f12c82a4c85700d0d6a8d15733794a13202d98c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.786045Z digest=sha256:767d44c9df2ef5949d217a7bec14a72769c4c0e11166af5aa30b93899086fa27

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.791260Z digest=sha256:573e0789dff7913c288541273171597432a139d987db793a908f651a2f078b49

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.796080Z digest=sha256:5f8566211843f3c3b3139bc1e2cf6e989a7e7d3e58fc6a4604625b696cf7589f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.801445Z digest=sha256:641cf2e9a4c8907e666d8cae196499226be4000851dcafc82c655a97b31f9804

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.806571Z digest=sha256:2f2671e0c6830b65dfe5404b5a09ba87702eff0a07b13b1f0bf533b42a83d2e5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.820812Z digest=sha256:56a974f81590c47e3e872ada75a49120f39ce475c7ff033d9c4f1d14588e8aa8

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=sha256:10d1204170526b2cd29a93ffd9d308f3a3881dfe3b65583f72bd506aeb60a018

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:31:10.831070Z digest=sha256:c16cbb26a90ff0e3c424349c824ba6f478d8fda703c126acbf0f18bf37b2a6e9

Pith citing papers

No inbound Pith citation observations are available.