Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mask2Former for Video Instance Segmentation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2112.10764.
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, observed 2026-08-07T05:25:44.060493Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T03:06:43.601051Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
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- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 164a91ab-6c2d-4928-8067-bfaaf7be41f5 · inbound
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation cites this paper.
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation Mask2Former for Video Instance Segmentation
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:25:16.506146Z
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 10f86999-c4bc-44b4-bc1c-5005dc1bc195 · inbound
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation cites this paper.
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Mask2Former for Video Instance Segmentation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:25:44.060493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cab951f1-9f45-4213-978b-f68eea78264e · inbound
Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation cites this paper.
Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation Mask2Former for Video Instance Segmentation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:50:23.286782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87b8979b-f055-487d-850c-6ce6b719beea · inbound
GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing cites this paper.
GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing Mask2Former for Video Instance Segmentation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:21:13.164766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd7d29b2-c6db-4d8c-b6fc-7cec9ca92856 · inbound
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation cites this paper.
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Mask2Former for Video Instance Segmentation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:17:31.737828Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6d28bd7-fe06-4d42-8334-568ec688b40d · inbound
GVCCS: A Dataset for Contrail Identification and Tracking on Visible Whole Sky Camera Sequences cites this paper.
GVCCS: A Dataset for Contrail Identification and Tracking on Visible Whole Sky Camera Sequences Mask2Former for Video Instance Segmentation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:37:32.089540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2489c505-f001-449f-97bc-6756f5153e56 · inbound
GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting cites this paper.
GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting Mask2Former for Video Instance Segmentation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:22:13.254653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6ff474e-4aed-44d8-83bf-b09ba6be3630 · inbound
Latest Object Memory Management for Temporally Consistent Video Instance Segmentation cites this paper.
Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Mask2Former for Video Instance Segmentation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:08:43.698403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f339dd2-819a-4472-a54d-7544ee0bdf16 · inbound
Temporal Cluster Assignment for Efficient Real-Time Video Segmentation cites this paper.
Temporal Cluster Assignment for Efficient Real-Time Video Segmentation Mask2Former for Video Instance Segmentation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:11:37.909813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a89c39a0-f55f-4a9b-8ba0-b528648f14c8 · inbound
CObL: Toward Zero-Shot Ordinal Layering without User Prompting cites this paper.
CObL: Toward Zero-Shot Ordinal Layering without User Prompting Mask2Former for Video Instance Segmentation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:35:35.401431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 453aadd4-07b8-4fe4-8e23-54c911b8f2fb · inbound
Interleaved Transceiver Design for a Continuous- Transmission MIMO-OFDM ISAC System cites this paper.
Interleaved Transceiver Design for a Continuous- Transmission MIMO-OFDM ISAC System Mask2Former for Video Instance Segmentation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:30:02.984463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 500da900-2e9b-4573-94d9-6a9d882cd9a5 · inbound
AutoQ-VIS: Improving Unsupervised Video Instance Segmentation via Automatic Quality Assessment cites this paper.
AutoQ-VIS: Improving Unsupervised Video Instance Segmentation via Automatic Quality Assessment Mask2Former for Video Instance Segmentation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:33:15.913482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10c61aa5-734c-4aec-b0a5-643ae63bd371 · inbound
CaptionFormer: Unified Segmentation, Tracking, and Captioning for Spatio-Temporal Objects cites this paper.
CaptionFormer: Unified Segmentation, Tracking, and Captioning for Spatio-Temporal Objects Mask2Former for Video Instance Segmentation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:31:55.211242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be6a2d55-45cc-495b-a708-0f4ef7620b64 · inbound
PAT-VCM: Plug-and-Play Auxiliary Tokens for Video Coding for Machines cites this paper.
PAT-VCM: Plug-and-Play Auxiliary Tokens for Video Coding for Machines Mask2Former for Video Instance Segmentation
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:56:01.846052Z
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 adf30736-1412-4539-9207-ce3599cc819d · inbound
GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes cites this paper.
GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes Mask2Former for Video Instance Segmentation
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:41:01.637082Z
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 fc1c1c04-981c-4149-8ea9-74bbae5d0e56 · inbound
Mind the Gap: Disentangling Performance Bottlenecks in Video Instance Segmentation cites this paper.
Mind the Gap: Disentangling Performance Bottlenecks in Video Instance Segmentation Mask2Former for Video Instance Segmentation
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:07:12.925722Z
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 7f9d0ede-c8c2-4449-8697-5369740011c7 · inbound
SA-VIS: Sparse frame Annotations for training Video Instance Segmentation cites this paper.
SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Mask2Former for Video Instance Segmentation
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T03:09:30.493585Z
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 46758175-4b06-49e8-a5a7-1e1fe1319b2f · inbound
SA-VIS: Sparse frame Annotations for training Video Instance Segmentation cites this paper.
SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Mask2Former for Video Instance Segmentation
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T10:54:37.012591Z
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 aacbb5a3-64a2-4e90-bd87-ffdedc95b691 · inbound
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation cites this paper.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Mask2Former for Video Instance Segmentation
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T03:06:43.602664Z
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 c631030b-3c73-4f78-a06e-796a12b477db · inbound
Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation cites this paper.
Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation Mask2Former for Video Instance Segmentation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:20:46.977826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.