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Paper Citation Record · LEDGER

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:43.447293Z digest=sha256:ffc8c8c833eb9c2f91549459a054e71806952f616a0338948a5474e5c72a592d

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 2026-08-18T06:34:40.430872+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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no resolver link, observed 2026-08-06T14:08:43.619315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:43.619315Z digest=sha256:77eb64d5a6f4cae36e72855257e4fd01f14b5f6d587885ec274d4b91aa609a9d

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:f904ee2e16687a67c5db24f36fb2cbd9c39701d1a22184aafef3bf7d8f3b2b75

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:43.806077Z digest=sha256:b71b1d0437a87cc212cbe00052d6fcbed15c2369f73665d7c519703eec1bafcd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:43.924455Z digest=sha256:249e301f80edf63d4da268dbd4de31f1b5a36d89439666270ba0e960630ac405

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:44.054015Z digest=sha256:d1fc4877788fe88afecb5267ab0c169f9faf908f196cb28fb4c31694682f57c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:44.255148Z digest=sha256:66bee96f5a3faa3085b89b7014431771e541ee64a92e87cfd3881e4c5471d72b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:44.394896Z digest=sha256:5252bf7cefcefaceef015ff461822c3934007940d9bbd1349f21d38d5e34a623

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:44.576053Z digest=sha256:5a51c66111da307220c988cc1ed10fa676aba20562fb59e71901764decd710c1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:44.750040Z digest=sha256:266188e2e5662552969936b169d8fbbcf442933b4aca1b2bbfbba90813529f63

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:44.904004Z digest=sha256:8bb775597f0250463380007e0a51b8536cb46d9223703d3a24e197f562541ce7

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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no resolver link, observed 2026-08-06T14:08:44.974723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:44.974723Z digest=sha256:0beaed93024ebc219065977c508f813eb125f650486afb507e220dae58d4896b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:45.138439Z digest=sha256:e47872c416d38c4f61cf8cecf38211335bbe49360bbd92cf5d07bc382e8644fb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:45.361088Z digest=sha256:aeb6543543722cb33a5b12baf95fcb474c73540b3dd241eb2e2998d0130defeb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:45.491580Z digest=sha256:c148caef5cc6742853726b7dff4af7e79a257bf840bada883032a456064326e6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:45.595862Z digest=sha256:e5454922d22a5ce49e50819689da097efd60d2307009f7d32c621e3af1084744

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:45.747567Z digest=sha256:1ba281e18585204ace4135b37a4edbe89e877738168a51c54157000bc9e8e336

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=sha256:4303d60f7f49dd361a8c7152fec091ee1f9ab0e87733049d41d4c42e49babcb2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:46.065148Z digest=sha256:dcf567710d46c2643062f9f40740ca32ae8a3aa0be9e2e2031581f7e61751890

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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no resolver link, observed 2026-08-06T14:08:46.236826Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:46.236826Z digest=sha256:9d565851a42932f0b2745361e5acc8567fc7cc7c43829dd3eb5f2cce21c50e8e

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=sha256:250ca58e42c1040eb46b4a86d09327eea3df8f7f57c1c2a76766f3d8fb580400

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:46.499646Z digest=sha256:8d08b816e84cfa76308a7bba4f949c1340e56cd3c369ddc965cd2387292b6928

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:46.698148Z digest=sha256:fd74c80df948eba13838d4eb28cf51d35fd9e58821062bf7eedf582006804255

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:46.825509Z digest=sha256:7032f3c6ef144d82a6a7726a079015a5b2e50a12c99be307fb70c817072c60cb

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:b135fd8bcde33ebd014bd1471c34d3e6c9140067fa50f6948ba43a0ea9148b61

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=sha256:43b1aaf73e9db993ac315a9f232a4dc864a2df4ef965f05ed6a2c8ee6ff2f1bf

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:47.247610Z digest=sha256:cdf13eea5db5ec2605d56db3762eef2cd601f88642e768eba6755318381dc33b

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:47.374930Z digest=sha256:00856a29e8d92d748589ac48ad6627992e248ac7b4ca5bce85600564ac2b71b3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:47.546229Z digest=sha256:b7d1d9b3ecd0a715c6e7522c1e312b6e4d9ea6482df86b2d100e6afbc3853161

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:f7eb5f1a400763bb66a35ae8cfba90946632c2c18671e8f38ed9e2edd2f661eb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:47.806926Z digest=sha256:a1fb5649dd5c0306546530d071ff5b19143fa9e8a0dae19e73ec9de160f46a12

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:47.874809Z digest=sha256:b22f8b1d9d850f51e1b665e60b250293e7f90a18f58763ef480d66362a818e9a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:48.019795Z digest=sha256:45f1a066d5355ef9673698f22d7a4b99af2cf7ea3a2fcc0796afbfbbb6deea0c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:48.216948Z digest=sha256:ef0d08065231f4a8b7014e7b608c6947f36061ca03012c05b9aad404560badc4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:48.383163Z digest=sha256:b8b96a9567d98026c88a5680971a8f36dc82ff23947e71b2416ff7969023109d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:48.517281Z digest=sha256:51614e67e02c84af10dc6daf89e71a95ee73f155f0060844abaf5a21054984dc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:48.647285Z digest=sha256:492be9ea123a5d436103083e222ca3b8e16e6aea3c792de1c26230510ebdddd8

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=sha256:28df60a13e11c6f15f4410bd0babb8f1ec2f5621c24438c0c0021692f720e905

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:48.925154Z digest=sha256:a310491c7f6e77c738621c48d3e785901ce641049901331cfa14c41b28feb80f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:49.085985Z digest=sha256:3a5a53b5283aaebc90b37021085834fb65c4a460fcf3c03de0cca03778a76b45

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:49.205583Z digest=sha256:9e751adf4ca7b14a431501cfb4079dc68443d1a85499e467084dc215061bc570

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:49.338852Z digest=sha256:9c807af22a1136effa2fab634e50eecdadb819f43aa1ec2ae463614114b207e4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:49.457299Z digest=sha256:daff4664887750349452dae4bfb3d05a94d817352f6bfbad211af444ef7c65fa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:49.617237Z digest=sha256:7b630254aa0deb451879d6d37a32eb419c0733bfc82c251d1e95dc021c7b9050

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:49.760061Z digest=sha256:239fb7c4da0cbddf297165616c8e873cba32d8860f9ec812006a6501c4a1213b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:49.893132Z digest=sha256:96042bacfa7777e1b465bad41a74ecbf47de6c856ce0e185d56b4f34645e9e19

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:50.040770Z digest=sha256:313ced213bc1a079ec0594b417aa646f9031dac273728f05809c1db8b6613be3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:50.216071Z digest=sha256:2c22cd4b29dbe9ce8e17435de2f04319fdeab79daaba71261d7c69cc7e2cda39

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:b2b77f4c47e46ca0c3abd3f3a092bc26b64b60c50d1f551752e44db78a5d853b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:50.677189Z digest=sha256:14016590ba45f8d0c1d2f5fae89be3c2c298731bdd1424e165f52274aee62c11

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:50.848313Z digest=sha256:a54202129143982a318261bd9aae0325a4412939cd6254e9e23008a9a0950c15

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:50.994906Z digest=sha256:76d4ae2d388a538b1819930b821d78e53d41718dfe4da9a668a9f9407b70d503

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:beae9e451f5f1ba50669bf543e8c6c196c093ab7287cbbdd62ad41f60dc63840

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:51.580246Z digest=sha256:2e2f9ba71ce37c57e7fb9c1ebeaf14b2fd09d3e0e17234f95975c34333df2453

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:51.288490Z digest=sha256:c545cb632fe99bf3cc720ef767eb9d093f6e81ec869b829420c94635c554b89f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:51.460018Z digest=sha256:82550586fb3e34e26a1d0568e1589ebc2e74aa86df5006b669592e5b008a381e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:08:50.557618Z digest=sha256:bea0ab828704a4cca4830c0fc8368ae382e90a69e7fa17a533fa019516f6b53c

Pith citing papers

No inbound Pith citation observations are available.