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Paper Citation Record · LEDGER

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2507.19754.

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

pith.paper-citation-record.v1
2507.19754 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:08:51.580246Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

59 of 59 outbound references displayed

  • verified exact4
  • verified fuzzy42
  • unresolved12
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67149b87-572a-4d9d-a179-1809c808e4d6 · outbound

This paper cites Memot: Multi-object track- ing with memory.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Memot: Multi-object track- ing with memory

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 772d6f80-f536-4454-9c07-4ce92ac2f98b · outbound

This paper cites Sipmask: Spatial information preservation for fast image and video in- stance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Sipmask: Spatial information preservation for fast image and video in- stance segmentation

Reference 2

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raw_fallback, observed 2026-08-06T14:09:01.246603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:43.447293Z digest=sha256:58616efb3eadf19616cd2fc01639b63c02bc813d56d1007757ba0192158eb287

Observation 0e7ecb23-fb5e-423c-9d31-c5d23615ba85 · outbound

This paper cites End-to- end object detection with transformers.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation End-to- end object detection with transformers

Reference 3

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ccee4867-5d63-4b24-8731-a556a30ae3c3 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Vision Transformer Adapter for Dense Predictions

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:43.619315Z digest=sha256:1b2b676aeb606441d9f00deeaabc0dd4b0a3d861539f2350bdced62fc7a46137

Observation c6ff474e-4aed-44d8-83bf-b09ba6be3630 · outbound

This paper cites Mask2Former for Video Instance Segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Mask2Former for Video Instance Segmentation

Reference 5

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no resolver link, observed 2026-08-06T14:08:43.698403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:43.698403Z digest=sha256:2b51c9ae5a3d4ed088bf3eb359b5c7903f53ec75756d31fa5cfd8c2a913992ea

Observation b1afe057-884d-4ab2-b5d2-3b3b8dec015c · outbound

This paper cites Per- pixel classification is not all you need for semantic segmenta- tion.Advances in neural information processing systems, 34: 17864–17875, 2021.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Per- pixel classification is not all you need for semantic segmenta- tion.Advances in neural information processing systems, 34: 17864–17875, 2021

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T14:09:00.883599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:43.806077Z digest=sha256:9c37cc834cdd0823b9c7b789377c783d0716011e65d560b5a55b9a47c1b50afe

Observation cf7d27f5-abcc-4e9a-85ee-4430b5223dc4 · outbound

This paper cites Masked-attention mask trans- former for universal image segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Masked-attention mask trans- former for universal image segmentation

Reference 7

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raw_fallback, observed 2026-08-06T14:09:00.713656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:43.924455Z digest=sha256:223198128b811c9387016f0992ddb287cb908907d98be1bd92fac052f607a3c9

Observation 495e6613-5d2e-473f-be88-5dc9eb3f808e · outbound

This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:44.054015Z digest=sha256:bad41794464593edde31e782af0c93aee8bc33fb7b683a60ec744991978b5930

Observation 5fa6bd73-38dd-4fad-99c3-7da7582823a0 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:44.255148Z digest=sha256:07a0aacc653cff0bf8f261dec2f9922ec7cfcd503a5b3dba31f999fd91a8dad6

Observation 1ddcd37d-9587-49a8-8293-bfa61cf7e612 · outbound

This paper cites Cap- sulevos: Semi-supervised video object segmentation using capsule routing.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Cap- sulevos: Semi-supervised video object segmentation using capsule routing

Reference 10

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:44.394896Z digest=sha256:5c47af8f662c20b4994d16bf5a19e1157533436c3b06e9bde10de2920c025648

Observation c2e43067-3a05-4c3f-880b-d165989ec504 · outbound

This paper cites Stm- track: Template-free visual tracking with space-time memory networks.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Stm- track: Template-free visual tracking with space-time memory networks

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:44.576053Z digest=sha256:85311b580f0d66b1dabae1447aa4d728181aecc0f9b8f24194acb652b8ae4c63

Observation b949b7cc-e1df-4de3-98e3-241753af20ff · outbound

This paper cites Memotr: Long-term memory- augmented transformer for multi-object tracking.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Memotr: Long-term memory- augmented transformer for multi-object tracking

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T14:08:59.938239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:44.750040Z digest=sha256:d18ec058a1983c65e1a3437d350a336baa154072b05f15fe65332aa6269b11de

Observation 45a30248-616a-43e8-b20a-a9408016ed5e · outbound

This paper cites Deep residual learning for image recognition.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Deep residual learning for image recognition

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:44.904004Z digest=sha256:4a70f219a645a2f3a77dcad2e8a5c8400a90d32bc251889c9b41a5e42b4dc2dc

Observation 23169eb4-dc9e-4a6d-a39a-1e8ef2951c81 · outbound

This paper cites Mask r-cnn.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Mask r-cnn

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:44.974723Z digest=sha256:b12c7f9147eaa814a1f786803f5e22694fcfb3caef74fc8d316bf65035186e28

Observation 962f37d0-de12-472f-87bc-00ef55cee3b4 · outbound

This paper cites Vita: Video instance segmentation via object token association.Advances in Neural Information Processing Systems, 35:23109–23120, 2022.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Vita: Video instance segmentation via object token association.Advances in Neural Information Processing Systems, 35:23109–23120, 2022

Reference 15

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raw_fallback, observed 2026-08-06T14:08:59.661191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:45.138439Z digest=sha256:9971a266675cfac3c349b13b9c3c6296c6583b2a8b3cd02786d87fd2f41c18fc

Observation 0f7c790c-682c-479a-b944-10f20161a9b1 · outbound

This paper cites A generalized framework for video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation A generalized framework for video instance segmentation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:45.361088Z digest=sha256:33e597b02d6a25729c37a5acc147abd0f42cf13f5a9426e24a996dd6d5de7cd3

Observation 94517c43-1874-480d-848d-7734ef6cf73d · outbound

This paper cites Minvis: A minimal video instance segmentation framework without video-based training.Advances in Neural Information Pro- cessing Systems, 35:31265–31277, 2022.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Minvis: A minimal video instance segmentation framework without video-based training.Advances in Neural Information Pro- cessing Systems, 35:31265–31277, 2022

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:45.491580Z digest=sha256:7f316e6983a4025bbb4305222ee36281157b71b35ad0bb2485feb24234223af2

Observation eb9323c1-9a03-47f8-92f4-4dbd6342a3de · outbound

This paper cites Fast video object segmentation with temporal aggregation network and dynamic template matching.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Fast video object segmentation with temporal aggregation network and dynamic template matching

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:45.595862Z digest=sha256:be6bef5d61354d646e62088dcb025a0fd4bb5a7cbcbcf0d4f3345a98108ea914

Observation 649dfa51-ce02-4caa-8525-8abd43786e56 · outbound

This paper cites Video instance segmentation using inter-frame com- munication transformers.Advances in Neural Information Processing Systems, 34:13352–13363, 2021.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Video instance segmentation using inter-frame com- munication transformers.Advances in Neural Information Processing Systems, 34:13352–13363, 2021

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:45.747567Z digest=sha256:6ea266230a54dffa735ffaa24589b484fc2d81113d636281ed3b2720724726f5

Observation 3cf8c44a-bfa1-46db-b118-d8a315ea9e08 · outbound

This paper cites VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:45.888119Z digest=sha256:16b085e2cb68a3315db2406790813836fc0e4d325a1f7dcd491682913dc8a885

Observation 21b71947-5ad4-47da-983f-75dc4b04f610 · outbound

This paper cites Offline-to-online knowledge distillation for video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Offline-to-online knowledge distillation for video instance segmentation

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:46.065148Z digest=sha256:1a7bb8ddaeccf7e87b27b377144890e938441c4f084ddf2ab379d0626d9f621d

Observation 4e3d73cb-3edf-48b1-9199-f9a07e494e07 · outbound

This paper cites The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2):83–97,.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2):83–97,

Reference 22

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source=pdf_text observed=2026-08-06T14:08:46.236826Z digest=sha256:c4fe798182ba8e80154d194522489f8a1b7265406afdb20fb3bb940bec8e4fda

Observation 598348f4-dd96-46c8-9656-71945f23335c · outbound

This paper cites CAVIS: Context-Aware Video Instance Segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation CAVIS: Context-Aware Video Instance Segmentation

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:46.377119Z digest=sha256:467f92b21d7c05b367244f63ca57ce2945e0e08171be51c09c7376ce81ce348b

Observation b1e298b5-df45-4977-b695-fd2d356574e9 · outbound

This paper cites Tcovis: Temporally consistent online video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Tcovis: Temporally consistent online video instance segmentation

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:46.499646Z digest=sha256:27c55022c11ed6ebf5c8ad767d4783b8c87fd1d313abfe7e8415c293b8edb5e7

Observation f1ef3905-be57-493b-924b-45884c27d7bd · outbound

This paper cites Mdqe: Mining discriminative query embeddings to segment occluded instances on challenging videos.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Mdqe: Mining discriminative query embeddings to segment occluded instances on challenging videos

Reference 25

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raw_fallback, observed 2026-08-06T14:08:58.269554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:46.698148Z digest=sha256:c2e370297440e0da56d1708f61cb5d576c487570389cce394f213763d187c4ce

Observation cfcd5d63-4ab0-4c6f-8970-52693e0c3a95 · outbound

This paper cites Microsoft coco: Common objects in context.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Microsoft coco: Common objects in context

Reference 26

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raw_fallback, observed 2026-08-06T14:08:58.040992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:46.825509Z digest=sha256:574c8233d12253435348b5d998076bda03f22ec79c4062254331df9c379f05b8

Observation b8c64cef-ccc7-41f9-8e27-a07694f676bf · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 27

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no resolver link, observed 2026-08-06T14:08:46.933731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:46.933731Z digest=sha256:db2c5b8a8849b0fdb425c6beb296d299254ff516faf56f72157d2e2a80c4fe1e

Observation cf9e57f1-35ef-4383-b891-7a9dd2fa31a9 · outbound

This paper cites Decoupled Weight Decay Regularization.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Decoupled Weight Decay Regularization

Reference 28

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no resolver link, observed 2026-08-06T14:08:47.083409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:47.083409Z digest=sha256:51a33e0c4b8d762a56adb1647adc3a89d6a4054eda0c17e41efe0f3d6cb5ebe0

Observation 15a47410-a1f1-45dc-81f1-c4e5b0c711a9 · outbound

This paper cites Trackformer: Multi-object tracking with transformers.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Trackformer: Multi-object tracking with transformers

Reference 29

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raw_fallback, observed 2026-08-06T14:08:57.854889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:47.247610Z digest=sha256:7fd4d09eafa8e03d5c13cd6fb6feb7c66fa163069ef3223905c4ca4eb3c61670

Observation 1da80f0a-9a98-4509-85f4-bf25a062ae01 · outbound

This paper cites NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation

Reference 30

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verified exact
local_arxiv, observed 2026-08-06T14:08:52.963354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:47.374930Z digest=sha256:fca751df20fac4f7df0b3ae42661cb3e7d2cce919eb3f6138ee998295c149a2b

Observation 33c7f6b0-197b-41e6-af4c-f1506fc23a16 · outbound

This paper cites Occluded video instance segmentation: A bench- mark.International Journal of Computer Vision, 130(8): 2022–2039, 2022.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Occluded video instance segmentation: A bench- mark.International Journal of Computer Vision, 130(8): 2022–2039, 2022

Reference 31

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raw_fallback, observed 2026-08-06T14:08:57.666337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:47.546229Z digest=sha256:91a4fd6b75443cacf94e7a88dbc4167c13082d5f5d9c1ddfd7237f58cafeb01c

Observation 8feec401-aae9-458f-8209-f93cc1a08341 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation SAM 2: Segment Anything in Images and Videos

Reference 32

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no resolver link, observed 2026-08-06T14:08:47.677975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:47.677975Z digest=sha256:b79f8e7195dd3a32573c1029eb8350ebd1662b3d796710494dc6138424c3baa6

Observation 0cf5d42f-948a-4b9c-9a8a-bc95300677e4 · outbound

This paper cites Learning video object segmentation with visual memory.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Learning video object segmentation with visual memory

Reference 33

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raw_fallback, observed 2026-08-06T14:08:57.507944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:47.806926Z digest=sha256:44456e577e33d32c1775384b83ff979ea59fce86a39a963713f910269e364edf

Observation c74e4326-ddf0-429f-a338-ab4203952727 · outbound

This paper cites Rvos: End- to-end recurrent network for video object segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Rvos: End- to-end recurrent network for video object segmentation

Reference 34

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raw_fallback, observed 2026-08-06T14:08:57.243089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:47.874809Z digest=sha256:d9f4c79e8a1a502a60ce41f4cbdb4272cff3c71c74566281b91bc9887995b3fb

Observation c625db29-96cc-4ae4-8842-213b14f44891 · outbound

This paper cites Omnitracker: Unifying object tracking by tracking-with-detection.arXiv preprint arXiv:2303.12079, 2023.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Omnitracker: Unifying object tracking by tracking-with-detection.arXiv preprint arXiv:2303.12079, 2023

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-08-06T14:08:52.717038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:48.019795Z digest=sha256:06b4814079c6ac745e4210dad9157dc6da9d1967c6bc78ccfad83a3b0fb64f3d

Observation 96e8e3da-c269-4f1f-827f-442aaecc0732 · outbound

This paper cites End-to-end video instance segmentation with transformers.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation End-to-end video instance segmentation with transformers

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:57.092525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:48.216948Z digest=sha256:3ef8640c903d28afcf76c3647c7af04cda906fc22ddb55a73934f6d8781ece61

Observation a3f25fd6-6266-41fa-aaa8-dfe674cea617 · outbound

This paper cites Seqformer: Sequential transformer for video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Seqformer: Sequential transformer for video instance segmentation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:56.956345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:48.383163Z digest=sha256:7c50c99bdb5b189343c0fe03d2db5611b33310b45b7213c6ca2ccd4ce2788c8e

Observation 86f11021-238f-4b2b-87b1-57816d5e594a · outbound

This paper cites In defense of online models for video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation In defense of online models for video instance segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:56.721186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:48.517281Z digest=sha256:daa0e8f4959e216233679b5219d1e382ea32fbd2dd1dede487a31b20b49bf09e

Observation c6d3b8cc-e67c-42be-83eb-1248d7dbf79d · outbound

This paper cites General object foundation model for images and videos at scale.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation General object foundation model for images and videos at scale

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:56.547615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:48.647285Z digest=sha256:08ba9ad7da8547ee91cd47a5e415a90bcafe5889665254f7199d5bc6d34b3168

Observation 7c9bb1e0-6efe-4380-8f62-9d64a02d5ca7 · outbound

This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:48.767137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:48.767137Z digest=sha256:97b02d2edb0a5ada7ae571dcbbd320386df5fa9b5ed70db849e2d35235a551eb

Observation 2ddea36e-8c7d-4c22-8440-097a3b8a5be5 · outbound

This paper cites Learning spatio-temporal transformer for vi- sual tracking.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Learning spatio-temporal transformer for vi- sual tracking

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:56.334625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:48.925154Z digest=sha256:0b172e463620bd6e14e13630d554032d69457e920f235a4957ed1afdd0528662

Observation 93deba6c-ea49-4f59-a2a6-3b183157a73a · outbound

This paper cites Towards grand unification of object tracking.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Towards grand unification of object tracking

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:56.121256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:49.085985Z digest=sha256:790c0a69cf3f021ba2b96a1880fca493faee3bedbef60ee8df14b8795ee17583

Observation d79472a5-ce14-4a14-b9f9-c9e8a13af491 · outbound

This paper cites Universal instance percep- tion as object discovery and retrieval.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Universal instance percep- tion as object discovery and retrieval

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:55.883241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:49.205583Z digest=sha256:7b9276374cb574b1dc7e691b5afad033259394863620195edce3c647c3623f9b

Observation cfeb3f7f-9ab2-43c9-b21e-e2d9c40fff5a · outbound

This paper cites Video instance seg- mentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Video instance seg- mentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:55.659772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:49.338852Z digest=sha256:8612fc0b682e2ffc95df165b9f00ec0e235def51a0603ca27eb7bc6ef1cce244

Observation 6d5a6233-27ea-42a2-8db1-b577f8ddcdd1 · outbound

This paper cites The 3rd large-scale video object segmentation challenge - video in- stance segmentation track, 2021.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation The 3rd large-scale video object segmentation challenge - video in- stance segmentation track, 2021

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:55.503074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:49.457299Z digest=sha256:b7f0fb0c71d004c41477309883e6ba8f2a796311ad0dcee86e89371c760738d0

Observation 3ecc1d42-8e89-4c94-8066-38df8f076e0f · outbound

This paper cites Crossover learn- ing for fast online video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Crossover learn- ing for fast online video instance segmentation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:55.306182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:49.617237Z digest=sha256:03a43ff0059ec1ab2eb612c4cba385d175c7f8c5c844b7d8ebc3d33ba4b36629

Observation 016ccf23-208c-49c6-82b7-87813f23b5b5 · outbound

This paper cites Temporally efficient vision transformer for video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Temporally efficient vision transformer for video instance segmentation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:54.981460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:49.760061Z digest=sha256:61e48909a4b1aebcd82762f773d28501a4417b84cea423559e1c9b32da8d91b3

Observation a47c0bd9-a1c9-4972-b4ce-00cc19a2f4b1 · outbound

This paper cites Learning dynamic memory networks for object tracking.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Learning dynamic memory networks for object tracking

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:54.745752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:49.893132Z digest=sha256:336f945178aec227744a30eb8ef221edf0a0eb39fcc6791df446b15f323f7621

Observation e8c15c50-31fb-40a5-99c7-b13694a5b111 · outbound

This paper cites Ctvis: Consistent training for online video instance segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Ctvis: Consistent training for online video instance segmentation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:54.456863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:50.040770Z digest=sha256:536462e3d711b66beac968786d47e7c3f3bae9f3a1103d88fac99a109031abcb

Observation 6ddda2e6-13bb-4e4c-9713-a143fcdc8eda · outbound

This paper cites DVIS: Decoupled Video Instance Segmentation Framework.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation DVIS: Decoupled Video Instance Segmentation Framework

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:08:52.256061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:50.216071Z digest=sha256:18a7092bbe6dec8d4a6a3ad47a202f85d9fbecb2598c3fcc4eeabd9331f9cbf9

Observation 01d34519-eb93-475d-9613-fd9dd95ffd47 · outbound

This paper cites DVIS++: Improved Decoupled Framework for Universal Video Segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation DVIS++: Improved Decoupled Framework for Universal Video Segmentation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:50.417853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:50.417853Z digest=sha256:495d6e53e8a071fc61739d9d4fbdb37e2c584c454dcb2e24fadcd18d29a12bd3

Observation 8699fc9e-5a4e-4ef0-a982-90df855e91b6 · outbound

This paper cites A transductive approach for video object segmentation.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation A transductive approach for video object segmentation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:54.101669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:50.677189Z digest=sha256:592a9ba50a99edf85b7f2d94f011c8998cf915640b695354a7e8a12f375140a9

Observation 52ff4afd-3990-40fd-8aff-59ef476e504f · outbound

This paper cites Object-centric multiple object tracking.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Object-centric multiple object tracking

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:53.880041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:50.848313Z digest=sha256:42f29e1a9fffad61690e0f653a1fa9d234478c5aa33dec65d721966e98fe1035

Observation 96ac3ae5-8202-402b-90b1-2e192b343e64 · outbound

This paper cites DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:08:51.970370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:50.994906Z digest=sha256:8a3e6bb1239475fec639e99465c0666613b86846ec632cfe26b89cf07b79105f

Observation 70a43fc8-acd7-4c27-b296-ea7b12fdabd0 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:51.167234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:51.167234Z digest=sha256:264cdc5ef164f7447f4da0a9d5096e8e6502cc3aa42c1e2a90e6711713cd1344

Observation babf6fe4-b5fd-428d-960f-df0681b754b6 · outbound

This paper cites The 2019 release includes 2,238 videos for training, 302 for validation, and 343 for testing.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation The 2019 release includes 2,238 videos for training, 302 for validation, and 343 for testing

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:53.296122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:51.580246Z digest=sha256:f2df27113bef4fbac38026d07b84f72d8a960a133913486e82526b1ca3737b62

Observation a9854066-4712-4f3f-a303-63dcecfdac94 · outbound

This paper cites Appendix Figure 5.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Appendix Figure 5

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:53.692415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:51.288490Z digest=sha256:868a07bb375b46cc0315536b2b0376a4a6266ffb91f8ed6815f39cd537382941

Observation 9d535215-6a79-434c-9992-e9dfe89bea4f · outbound

This paper cites Introduced by.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Introduced by

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:53.516473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:51.460018Z digest=sha256:e3856090869269391942d5faeffca6f69a94f69c32cac9ba5a0dea9a69f5b99c

Observation 135992ad-93bb-4ecf-b8fe-22f3a86c0ee2 · outbound

This paper cites an unresolved cited work.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Unresolved cited work

Reference 2023

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T14:08:54.248142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T14:08:50.557618Z digest=sha256:c9709fc471dee12a8a4363a1ba6a5f69f8b29b46326c2f76369acf3fa28ce4f3

Pith citing papers

No inbound Pith citation observations are available.