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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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:b304a96153f788a5908d16867af5064ff83f29f1f8053955ec535b14188b808a

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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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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:43.806077Z digest=sha256:6d313e9a05095978efcee7525e1e0368c043eab1defe00d3c7574f8f7ad3e876

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:43.924455Z digest=sha256:63792ccb3f099f444ccf5f96579bd4522a6bc4b148a1349d0987809ab6bd46d3

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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raw_fallback, observed 2026-08-06T14:09:00.554203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:44.054015Z digest=sha256:fa8b46ca664e16474c6477aa2bfaaa9dec15d3a035dcea9aba6891ef8f28548b

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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raw_fallback, observed 2026-08-06T14:09:00.431973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:44.255148Z digest=sha256:a39e1927c1573a577147e8f909ee8cc5cf899184f78b38d77e2f01ce0a05c1ac

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:44.394896Z digest=sha256:28d84e23cdea8318a10fc9db064327b14494b90349c35c3c79b34210ade6fd50

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:44.576053Z digest=sha256:16ddac2fb2309a8757f6ee03f6ede7e0542c11a46610f06fc193aa97007fb75d

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:44.750040Z digest=sha256:32d40dd011306c95efabd48626e4ca5baf415cebc9a936c9cdc86b0bbbd2ddc3

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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raw_fallback, observed 2026-08-06T14:08:59.789888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:44.904004Z digest=sha256:67b2f62bccd1331aabf0c0c6d3be3ffeeb82345bc2a1c68ab68076cf4a66d714

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:45.138439Z digest=sha256:7041fa759e8192fdb6fcc8a1f902bf488e0e6240b9179b1a253bcc14aa2a20de

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:45.361088Z digest=sha256:82871edb9467b0451c862242755d5e11e4fc940ab90bf4aabd7e50ff47d9b028

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:45.491580Z digest=sha256:fdcfac84b252ddb0e34b470a29c824e2d316a33e8e0808ff4b51a663e7c42165

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:45.595862Z digest=sha256:caf2071b38072837945e12254553ad2c78cc6c1ea4e86f6afac3535211f634c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:45.747567Z digest=sha256:f99c8cd7a9a23ec88e3dc9618f4eeb8182217348836207ced4c5258eea4b6beb

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:46.065148Z digest=sha256:edfe1f7f695c59c8892afce732f737f220f2a918691eefaa593f3d510ccc187f

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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Unavailable: canonical work link unavailable.

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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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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raw_fallback, observed 2026-08-06T14:08:58.493303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:46.499646Z digest=sha256:38ddd49dcff21c0bd73299ae45d76ecf987f3fa2dd262f7cfbd894dc2e3fb144

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:46.698148Z digest=sha256:75515dc062090a71f1600f9a19fdadd6d36e5eae8052bf3db21e567f693c50d6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:46.825509Z digest=sha256:40506d9428661fd64bcb8f0c7a1890f506f810eec50820a4da928e6f6e377b11

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:47.247610Z digest=sha256:f88e401083161c8a69bc611835182b290d20c77857d7993bc447380a941315ac

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:47.374930Z digest=sha256:2016572c53454390f8d22ab706d52e7e61f6d567b63f39eada6cf3cb93fcb616

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:47.546229Z digest=sha256:f225707d73e64a107bf57af003bb67df72bfa737397648ad308beeed0020647e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:47.806926Z digest=sha256:97eba2a492f61b17541c2863979ed91b7d241899a7522499c6223793247abf24

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:47.874809Z digest=sha256:b88cfad6b3573dcfe382e7586030947f381df10d7178290658b4623258e7f176

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:48.019795Z digest=sha256:64ad95c5e9ec3ea40744f8c9ee94f42741ecd9ef3fad5f76e5ff5e8542386f90

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:48.216948Z digest=sha256:0a9b2a24b1cb2b2057235b0b640dfde6beb78735ddd6935fd63bdce9dc956d68

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:48.383163Z digest=sha256:d7ef37f89f98e07d3470660beaf7bd2b995b01e29a8db24353b48a5de791a56d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:48.517281Z digest=sha256:00d88284c0a684066e85480847e66405d34d68ef486ed7e98ffe876e7b11a42e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:48.647285Z digest=sha256:fbd59a86a94fba0d2f543530130178117947f8f19254137f8f3871342c7c04fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:48.925154Z digest=sha256:e2ffa4bf654108035b2bf91f73801b54aa2c6bb4d5d296ac8f3c49d9382efea4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:49.085985Z digest=sha256:b5393796b3e87719a980a3d4274e8b5e754dc5beb718462715f77c4f9463c065

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:49.205583Z digest=sha256:c01b6f86e6eb67eccbbed38040f295537a4a915806355977241900601a577ebc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:49.338852Z digest=sha256:665745a045934f84971f00141a17df7c1a1c4620631e8a5c6d1c13a1f4869c95

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:49.457299Z digest=sha256:f2164662053843777682126f40126340badcdcab1df8225bde3059eb8f7d56bf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:49.617237Z digest=sha256:7142deba919c49d176f09ad7cbefc6743cb2c49e24ed117c2f2622c5fb670ee4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:49.760061Z digest=sha256:55d228e510c22e03404ddc4b121606558be6f80a571755c4bb475b08b48c1794

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:49.893132Z digest=sha256:67142dbee69688bbbc2d713825935fbfd4a7185839fd14ac71f821f52cc6ac44

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:50.040770Z digest=sha256:fd7963af0809783b770a4787412345f82ef516c11ef0fb663d3e28de9a3062d3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:50.216071Z digest=sha256:744310a7d249d7eb82393b994fb6c21edcd8976cf2fae64ae31300932f3c3c13

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:50.677189Z digest=sha256:20c783a729c9477032e07b9acd9ee99690990d49f4edcd4c7b001309e74f653f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:50.848313Z digest=sha256:f825c1f077bd85a3195bc3a1276f6f3b2fd5025a572b170a3fda5adf8981c867

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:50.994906Z digest=sha256:2be7a6dc91086efbf5e393ba7b56ebfb83bb84ef4f8e89052a8918eff74895f3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:51.580246Z digest=sha256:2ec2036593a2ea514feeaf3e6f2d5ce92f4a5e771102671ebbd752e3b22b2b24

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:51.288490Z digest=sha256:5f38900576503a1c79bf279002f7cf62b57a3b9d571507fd311bcf1c7c80beb7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:51.460018Z digest=sha256:c862d7b38374f47b7eea0078e0179d026bd451375c7bf8918f5069576e95bc86

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:08:50.557618Z digest=sha256:145dcbaaf164f38b94334bbd2ba5449592b4511d6dbe040d3510728df85fff92

Pith citing papers

No inbound Pith citation observations are available.