Pith. sign in

Paper Citation Record · LEDGER

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization

As of 9 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 1 inbound Pith citation observation for arXiv:2508.18859.

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

pith.paper-citation-record.v1
2508.18859 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:13:49.908713Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:24:57.169737Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T10:36:04.874263Z

Reference resolution

77 of 77 outbound references displayed

  • verified exact6
  • verified fuzzy65
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05de00eb-3286-4e08-a85d-3b9c887b18cf · outbound

This paper cites Auto-directed video stabilization with robust l1 optimal camera paths,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Auto-directed video stabilization with robust l1 optimal camera paths,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.638907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.706481Z digest=sha256:efcec5e232a2f9d364b72cf583c034156700b3da350c10613aa00a070f9795a2

Observation d203bf9e-e3b5-4df2-b519-461a49dcf89f · outbound

This paper cites Bundled camera paths for video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Bundled camera paths for video stabilization,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.630834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.709698Z digest=sha256:116c0b8083289b5abb66dd0c8410e67a330d87204be5f6a66d6803f5c0a323aa

Observation c7cfcaed-a84a-4d2f-a4c3-225c483c75f2 · outbound

This paper cites Learning video stabilization using optical flow,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Learning video stabilization using optical flow,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.623076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.712455Z digest=sha256:a1ec1db9f2f1663d62f936665dac6ea870d11f282b68f11c65b13e09ed4fdd54

Observation b1a5b17a-cd48-4f91-a7d5-23f6f80bdee2 · outbound

This paper cites Out-of-boundary view synthesis towards full-frame video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Out-of-boundary view synthesis towards full-frame video stabilization,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.615081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.715435Z digest=sha256:b2ea732636b4557d02f2105bd45772a09684b9c7ea4f2332365bce3312c85d2e

Observation 4c6a4b62-459a-4ccd-9ffc-03dab6a35be7 · outbound

This paper cites Self-Supervised Real-time Video Stabilization.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Self-Supervised Real-time Video Stabilization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T16:13:49.718150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:13:49.718150Z digest=sha256:c77e41220e7635847164c833fad3fe55cf3daa35b3fd8598cf204b67e0eb2d9d

Observation 72462593-7111-4e4a-ab28-6064cf738711 · outbound

This paper cites Deep Motion Blind Video Stabilization.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Deep Motion Blind Video Stabilization

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:13:50.122637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.721233Z digest=sha256:89a176d950dc169b4bcfe91f57e41b46e877f404f337672658bac9b00f8972d4

Observation b8759123-ee4b-48a2-9641-222d7422296c · outbound

This paper cites Deep iterative frame interpolation for full-frame video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Deep iterative frame interpolation for full-frame video stabilization,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.607226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.724720Z digest=sha256:514b04d74a1df48aecb420a73803bf199e5d7f0e752161289f3209420e495985

Observation 87697fc4-a566-4887-b7c5-5b15cd4fd837 · outbound

This paper cites Hybrid neural fusion for full-frame video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Hybrid neural fusion for full-frame video stabilization,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.599909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.727222Z digest=sha256:dcceaf42676c007c6082a7d9e271d52db3d4c44ea44efbea93aad4eba30895d8

Observation ea237710-fed8-47cf-b11f-046c1cfd8808 · outbound

This paper cites Harnessing meta-learning for improving full-frame video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Harnessing meta-learning for improving full-frame video stabilization,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.592416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.729835Z digest=sha256:720e6e9688ce0af4a787447be4f3c0cd8812bb9970b98a3a89a905f9ffded191

Observation f455bcc5-0226-4d64-9626-2500d8f1ef6d · outbound

This paper cites Full-reference stability assessment of digital video stabilization based on riemannian metric,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Full-reference stability assessment of digital video stabilization based on riemannian metric,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.584724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.732477Z digest=sha256:acf44e83467aee51b5cc32df01aebd7e2fe5f187ead2fa54aab43afbce52475c

Observation 13bb60a0-683d-41cb-bebc-a6b38e743c54 · outbound

This paper cites Deep online fused video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Deep online fused video stabilization,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.577267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.735539Z digest=sha256:5c01c6b06bc9e1fab94ffdb93aaf02aea81f9efa0f610a890241276a631ce749

Observation 8121f18a-045e-4f01-92e5-6b9232683a90 · outbound

This paper cites Video stabilization with a depth camera,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Video stabilization with a depth camera,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.569596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.738470Z digest=sha256:d937a3236ab97bf00402b744d7136a95eea75dc0ba40405a6dbe8f99ccc6de51

Observation 6e5c9778-274c-4da1-be5b-7d64ed071b3e · outbound

This paper cites Digital video stabilization and rolling shutter correction using gyroscopes,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Digital video stabilization and rolling shutter correction using gyroscopes,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.562147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.741437Z digest=sha256:20976c20340207d49b7f29176e3c57105ce550b795c2b24e6f81156b57bc899f

Observation 0396b816-0225-4ed7-aab7-06f9766b748f · outbound

This paper cites Dut: Learning video stabilization by simply watching unstable videos,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Dut: Learning video stabilization by simply watching unstable videos,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.554085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.744039Z digest=sha256:d25876b3814da7e9fb56a5e35dcb51daf2d77fb076d99be2bf2755595e3e8bb0

Observation e6932f1b-4ac7-4932-9995-e6360512719d · outbound

This paper cites Content-preserving warps for 3d video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Content-preserving warps for 3d video stabilization,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.546175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.746425Z digest=sha256:ab9cab24cb67e6de20f631a56eec4328deff7250acfe7a5b981f66a35619f983

Observation 412c3d66-75ef-40bd-a1cf-72e9bfa5c36e · outbound

This paper cites Light field video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Light field video stabilization,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.538286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.748830Z digest=sha256:a987033f90158d8e77486c344035ce75d2763bdf2cd3504311696c19d27673cd

Observation 4b338c82-f064-4435-8f31-1ff5e38bf514 · outbound

This paper cites Plane-based content preserving warps for video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Plane-based content preserving warps for video stabilization,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.530678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.751821Z digest=sha256:16254f571be90b836be881d246e38df3830672f992a2dd091cdeb7f5565eb861

Observation dfe1566e-858e-44e2-8c37-fc5797e5d402 · outbound

This paper cites Non-metric image-based rendering for video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Non-metric image-based rendering for video stabilization,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.521969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.754733Z digest=sha256:5b2399e52dbe5ee23aec5d19f39a8eb0278fdaaf4f244ff364ec9f0c5c33faa1

Observation 0d208713-3215-4ed3-b835-09c581b51e7a · outbound

This paper cites Full-frame video stabilization with motion inpainting,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Full-frame video stabilization with motion inpainting,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.514205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.757824Z digest=sha256:cbe02bb4ccb49d35044ddda3ccc009dc59e8cf8c6a8ac53bf13a2fcc813eb491

Observation b915d927-f028-4cf3-9d88-823213f28650 · outbound

This paper cites Subspace video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Subspace video stabilization,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.506452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.760440Z digest=sha256:fa56157b188a19123ea1f96d8217737383b80c74e4a1f365259b401de3053bce

Observation c6e2e41a-a290-40aa-bc15-353a9265b813 · outbound

This paper cites Video stabilization using epipolar geometry,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Video stabilization using epipolar geometry,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.498857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.762993Z digest=sha256:4b20f707b6b2c1956f7c4d4896c66bce7cd5bfdfd5b9dba093bf5a45871ba6cf

Observation 9933a36f-8be9-43f9-aec2-78d85cde970a · outbound

This paper cites Video stabilization using robust feature trajectories,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Video stabilization using robust feature trajectories,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.491026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.765458Z digest=sha256:166de15186543f1a2ffdd763c7cb9ce9e8d629c2de34b84115eae64bf03df392

Observation c67c6c74-5e09-42ba-bec5-147fffab8a09 · outbound

This paper cites Spatially and temporally optimized video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Spatially and temporally optimized video stabilization,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.483052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.767856Z digest=sha256:b7dd220b834b123874ea77eabb1ce579b15cf57877557b508ea17f2194cf273c

Observation 0bb15c39-cc41-4752-b9a0-2e1bade461e1 · outbound

This paper cites Robust video stabilization by optimization in cnn weight space,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Robust video stabilization by optimization in cnn weight space,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.474970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.770213Z digest=sha256:cb39d0df3dff9b67d2f1b5b6f7eaae2df5c6548b7c1d078a50fe7a138ba02219

Observation e1bfd093-a444-4e94-b625-9bb18ea160a9 · outbound

This paper cites Globalflownet: Video stabilization using deep distilled global motion estimates,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Globalflownet: Video stabilization using deep distilled global motion estimates,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.467161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.772670Z digest=sha256:c71c3b810cfa4c526d89d1f5bed73cebe8c26db1ba220b0e78e9dcff0e6b86d4

Observation d07c2379-99eb-4e4a-a92e-4ba38ddec69e · outbound

This paper cites Fast adaptation to super- resolution networks via meta-learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Fast adaptation to super- resolution networks via meta-learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.459242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.775315Z digest=sha256:bb3cf6287e8c4975d6f1864b9ee3bd37574cf2cafdad971f8fcdcfa063839f15

Observation c1cac42c-a669-4224-9ec3-1ce1122c8c82 · outbound

This paper cites Ada-vsr: Adaptive video super-resolution with meta-learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Ada-vsr: Adaptive video super-resolution with meta-learning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.451880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.777963Z digest=sha256:72e1c78e0ce105a812c6a288e5d12ca89b6a9af830e73789d107f9147a6efec0

Observation 7109a9ba-6a93-484d-8168-014612688d4f · outbound

This paper cites Dynavsr: Dynamic adaptive blind video super-resolution,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Dynavsr: Dynamic adaptive blind video super-resolution,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.444288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.780538Z digest=sha256:78e447eeafbe9935db596f881a7b532d11e5b055527917641c5d3d032c9d697d

Observation 5b465de9-99c7-493a-81e8-96d5567ea81b · outbound

This paper cites Deep meta learning for real-time target-aware visual tracking,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Deep meta learning for real-time target-aware visual tracking,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.436304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.783086Z digest=sha256:60262edcbd75481adb35b046ff5830ad2e0484110ea7dc2859608ffb64be5d64

Observation a030b1d5-8814-435b-b558-34f57915f99f · outbound

This paper cites Meta-learning deep visual words for fast video object segmentation,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Meta-learning deep visual words for fast video object segmentation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.428875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.785572Z digest=sha256:42b411aee5110fefdc24cbb63104b5788475b5bf809eb487859b4ed0b091d0da

Observation 01a078ba-1923-4984-bfd6-b89f9e907ed8 · outbound

This paper cites Minet: Meta-learning instance identifiers for video object detection,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Minet: Meta-learning instance identifiers for video object detection,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.421122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.788129Z digest=sha256:883917825fa20a118c8d70dae62d339760fa14ee7276c16484f160123b89e420

Observation d2572c7d-1ec4-4f2d-b2d7-614cb9e0bd9c · outbound

This paper cites Camera distortion-aware 3d human pose estimation in video with optimization-based meta-learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Camera distortion-aware 3d human pose estimation in video with optimization-based meta-learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.413679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.790590Z digest=sha256:0be0bd399fb9c7f8bfbd3946fd793a9c3fa4b09ff5822a374629c0d0791e0c42

Observation a9b5de7e-eb5f-4f72-b2cc-9881f78339f7 · outbound

This paper cites Bilevel Fast Scene Adaptation for Low-Light Image Enhancement.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Bilevel Fast Scene Adaptation for Low-Light Image Enhancement

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:13:50.110976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.793091Z digest=sha256:bd3e33955baa6e0c177e745998c39d351277228f6e17dce4ce65443ad6d853b2

Observation 5b613b01-998a-4d04-9627-f2987dbe947c · outbound

This paper cites Scene-adaptive video frame interpolation via meta-learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Scene-adaptive video frame interpolation via meta-learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.406126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.795765Z digest=sha256:ac9cbaa9fca1d553953a389b59f16e8b2ec48c47fd1234ce63eadf7ebbf513bb

Observation d18a05bc-bad7-4b3e-80ff-edf5a320c9a1 · outbound

This paper cites Siamese neural networks for one-shot image recognition,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Siamese neural networks for one-shot image recognition,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.398631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.798446Z digest=sha256:78418ca06442ecce156b6d468d594e9bb493c80feb7270dffcaf9d325e2bed1e

Observation 2c7dbad1-5102-4c89-aeac-6d3f89ffd830 · outbound

This paper cites Prototypical networks for few-shot learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Prototypical networks for few-shot learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.390819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.800883Z digest=sha256:74898a12002146b475ed023fafbc9e5f68b8b34dcea562c9c52c4021b6b785b2

Observation 5f816553-1c78-4119-89c8-af8e887ce28a · outbound

This paper cites Matching networks for one shot learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Matching networks for one shot learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.382883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.803705Z digest=sha256:4a4ce2eb5a3626d7f5a9423f112bbfb5a31831e417509bdb9952e64393c9dbb9

Observation 25091325-3e7b-4c13-8909-dea232a683d3 · outbound

This paper cites Meta networks,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Meta networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.375492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.806200Z digest=sha256:12d1a5fa14fe9e68debfbb22b1423d9c71c990ba60328e1a716edd0b5585c46b

Observation 2c741ada-35a0-432f-b15f-c53e03103109 · outbound

This paper cites Rapid adaptation with conditionally shifted neurons,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Rapid adaptation with conditionally shifted neurons,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.367730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.808533Z digest=sha256:5d27a695f77432066905295905b267b86888b82857ad9c1a12cee655f504db9f

Observation 6847533d-af98-4c15-af18-049d4dad559b · outbound

This paper cites Meta-learning with memory-augmented neural networks,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Meta-learning with memory-augmented neural networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.360147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.810984Z digest=sha256:1f9646cd3c5b9d2b69cdd8d5267856fdade3ed150d3cf086eba290ca89d28e0d

Observation f7ec930b-6164-4c1a-a0e2-91ce8021edc5 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.352597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.813393Z digest=sha256:da4d2d6a3af1d6136f5ecb9b709b36f97f8fc3b55c700632a3f77e757140a7c8

Observation a82ef227-ac45-45eb-8203-5473bf305449 · outbound

This paper cites Meta-learning-based incremental few-shot object detection,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Meta-learning-based incremental few-shot object detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.344815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.815720Z digest=sha256:c2cf31fce16cbfd3d17026b34aeb0d604a534965aafd96b32ad8b27c9ca492ee

Observation d261e6b3-32d2-44e2-bcbe-22109f5ebb75 · outbound

This paper cites Embodied one-shot video recognition: Learning from actions of a virtual embodied agent,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Embodied one-shot video recognition: Learning from actions of a virtual embodied agent,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.336868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.818117Z digest=sha256:1f9f33e6694e709888748cb37d5fc2281b2bc110f400f8af25c4be6e7ba0c9a8

Observation 680349ee-d394-4003-94c1-9306d638e717 · outbound

This paper cites Few-shot personality-specific image captioning via meta-learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Few-shot personality-specific image captioning via meta-learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.329341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.820836Z digest=sha256:3671641bf39c8890563792b309d438cbe4f2940c6b17b7610d908ab0e3bf9ea8

Observation 66bfa3e0-ae7e-479f-896d-43661075a545 · outbound

This paper cites MetaPix: Few-Shot Video Retargeting.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization MetaPix: Few-Shot Video Retargeting

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:13:50.099563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.823641Z digest=sha256:504cc3f24efe49af1e5a6b6aff744e1a5300332d54fe1e28bef806dd73d7c43d

Observation 75ba0933-9bb8-4eb4-acc9-ed07bc09e965 · outbound

This paper cites Self-supervised video representation learning with meta-contrastive network,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Self-supervised video representation learning with meta-contrastive network,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.321021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.826507Z digest=sha256:535dd6758d6141a4c8f12e704a71433bc9c2a6f62ce9fd4196bdae410286a11c

Observation da5806c9-1c21-439b-878e-8c2c585fba65 · outbound

This paper cites A deep meta-learning neural network for single image rain removal,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization A deep meta-learning neural network for single image rain removal,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.313666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.829087Z digest=sha256:6e797c455be04308641da712f8bb2e4d9d883861a2c78047d233282bed330c09

Observation 05cc827f-bfe4-46fb-bdb4-7a513376747a · outbound

This paper cites Video Deblurring by Fitting to Test Data.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Video Deblurring by Fitting to Test Data

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:13:50.088180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.831543Z digest=sha256:2b5b37182f3f3bb85a5d054baab8783d6c8ba416ebc537bf8cc3f134b33d5eeb

Observation 782de5ea-d759-4824-803a-86504955207c · outbound

This paper cites Meta-learning based siamese network with channel-wise self-attention for visual tracking,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Meta-learning based siamese network with channel-wise self-attention for visual tracking,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.305763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.834300Z digest=sha256:6e952426840a071b9255eda14fe4889ba35dee092db70b27a0d60e567dc3b7b8

Observation e59bdaf1-8882-483f-a725-9c78c97b4365 · outbound

This paper cites Tracking by instance detection: A meta-learning approach,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Tracking by instance detection: A meta-learning approach,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.298150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.836738Z digest=sha256:7c63f9bc61cf6995e8b5d43d0a2e992de70e6cd11b978a62e82e276f797f9b54

Observation 033930f0-f215-4909-a78d-7e1a001df698 · outbound

This paper cites Toward human perception-centric video thumbnail generation,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Toward human perception-centric video thumbnail generation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.290740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.839271Z digest=sha256:39a04b691867d7f157d6e22f4bf8af06e3e4413c2563122cc2667c9d8fcfedbf

Observation 0e5f9d22-376e-443c-acfa-c70483d2688b · outbound

This paper cites One to many: Adaptive instrument segmentation via meta learning and dynamic online adaptation in robotic surgical video,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization One to many: Adaptive instrument segmentation via meta learning and dynamic online adaptation in robotic surgical video,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.283241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.841724Z digest=sha256:b11039b043ad7e85ae427b26f199a6cca890ffb4263eb58d0c9c92039d68f043

Observation e26e80b8-fa2d-4226-b8e0-9e74f483d873 · outbound

This paper cites L 2 c–learning to learn to compress,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization L 2 c–learning to learn to compress,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.274926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.844191Z digest=sha256:00ed6ccf2977e0be16f2a766cc6fd2adddebc9a15a7dc608d3a3629ec29ddd9e

Observation 4c507520-1a2e-423b-98c9-b6f22039db6f · outbound

This paper cites Meta-learning for adaptation of deep optical flow networks,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Meta-learning for adaptation of deep optical flow networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.267602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.846859Z digest=sha256:451dbcee5d2e60f442d59ebc21e21ba2a8bd206c8b42929e60097a6b577190fc

Observation e3b76207-4ff2-434a-897f-f221a7a9e776 · outbound

This paper cites Deep online video stabilization with multi-grid warping transformation learning,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Deep online video stabilization with multi-grid warping transformation learning,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.259860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.849456Z digest=sha256:9875aa35cac00fa99d09f86085fcfc203284f6c8794e46a6d560d92d62a5f343

Observation 3653931f-8039-40d7-aad4-053006b64e70 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Raft: Recurrent all-pairs field transforms for optical flow,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.252129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.852209Z digest=sha256:a1341c00a663c0bd3884a649adc3dd23f84aa7c5ca5e7fc0af08da12f93859c6

Observation 3b3c8ee6-88d5-4058-b6b3-0f0176f98aec · outbound

This paper cites Task Agnostic Restoration of Natural Video Dynamics.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Task Agnostic Restoration of Natural Video Dynamics

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:13:50.076961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.854785Z digest=sha256:446c19411f8ffd58047197d905f897bb233c7637351da39ebb18b891590d6b9a

Observation ea7b8d45-9bf1-4178-b308-bf91f1f5e03f · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Perceptual losses for real-time style transfer and super-resolution,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.244722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.857918Z digest=sha256:64f0173d4eac9a66f7089f31c7cade9d86505bcd05dd9f4115bb1c963b96aaf6

Observation 93ffdaa9-ac6a-43d3-82f3-c1e3b1bbced2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Imagenet: A large-scale hierarchical image database,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.237052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.860282Z digest=sha256:be7fb9c21b5d24dd3ca11557cc44d38f7a0d33c2367ac66d843afc462640a57b

Observation 2ba54dee-3556-4acc-bce4-73504f4e88c4 · outbound

This paper cites The contextual loss for image transformation with non-aligned data,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization The contextual loss for image transformation with non-aligned data,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.229589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.863120Z digest=sha256:89a976c054d8bb2aa852b087487ab5125bfec5f864f865cd6b146add5dbc7122

Observation 68b477a2-cbe8-42df-af54-c6596ebac6f4 · outbound

This paper cites Multiple testing of local maxima for detection of peaks in random fields,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Multiple testing of local maxima for detection of peaks in random fields,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.222037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.865965Z digest=sha256:e28f9e0bc801d7bfd436cc9fbac6ef3b8ae0540b227b70cf054663d8b10a002a

Observation ec52e467-f669-4854-9b30-4601f2003f2e · outbound

This paper cites Minimum latency deep online video stabilization,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Minimum latency deep online video stabilization,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.213987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.868357Z digest=sha256:39a9b76af3b84b87ea18cd70f5696fbdbca47bd29207e4f26bf2e449a7e7aabc

Observation de52e09b-e96c-42e8-9e09-60d63fb264ee · outbound

This paper cites Video stabilization: A comprehensive survey,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Video stabilization: A comprehensive survey,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.206055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.871208Z digest=sha256:f522bf0c0d66c3c562236c223a27deefd4607dd5d8f771c09a7103c109986e62

Observation 02a5f713-009d-4f6e-bda3-41c05c005ece · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T16:13:49.874345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:13:49.874345Z digest=sha256:97f200ca79ad47d99eec5ee131f37380c853357d6e51289bcb6852de10472a06

Observation 40a9cd89-9d7f-41ab-83ef-4e2349c19df6 · outbound

This paper cites Sharegpt4video: Improving video understanding and generation with better captions,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Sharegpt4video: Improving video understanding and generation with better captions,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.197929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.877092Z digest=sha256:7a109659de95342cde98fff1701d3348e560e29376aeddee32351fb772aa42b5

Observation e292b295-c36b-4c7f-bb58-ced25b39444d · outbound

This paper cites Llava-next: A strong zero-shot video understanding model,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Llava-next: A strong zero-shot video understanding model,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.190082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.879553Z digest=sha256:db3ec1d8e952f93d01561a9c33c66534602cd1e565b41a3b21ce52d6da4bc37f

Observation 0b7cc0b5-1ade-472f-a737-1fe95007f04a · outbound

This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T16:13:49.881815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:13:49.881815Z digest=sha256:d3999fed1ab03f8a87e6f043f13720df6f9a4c0935474a84246c5a1f4443bf68

Observation 6be486b2-a354-42e5-b45a-d481c77883b5 · outbound

This paper cites Deep variational bayesian modeling of haze degradation process,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Deep variational bayesian modeling of haze degradation process,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.181933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.885017Z digest=sha256:5b560b05276390af8fc294c853e3af7763906be2bcc9e1cedc65875d07f45338

Observation 20decbd2-318b-439b-9138-4096d690f383 · outbound

This paper cites VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:13:50.048956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.887413Z digest=sha256:710eb008c54fc1581a79cbb8a37bc30fed202b5d8c2f644f4da81ef6125a4463

Observation 70b84acd-114b-4de4-8829-4486390faa0f · outbound

This paper cites Vidhalluc: Evaluating temporal hallucina- tions in multimodal large language models for video understanding,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Vidhalluc: Evaluating temporal hallucina- tions in multimodal large language models for video understanding,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.173041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.890055Z digest=sha256:e3b36635b18cdc9a76e10b735b1f4e4d78d366affa0fd63cd00bf3085ccb7a42

Observation 90505277-098b-477e-b587-15ef50dbb963 · outbound

This paper cites Scaling open-vocabulary object detection,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Scaling open-vocabulary object detection,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.164766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.892452Z digest=sha256:74cf816a94260e7473ff1c139661324b330baed6d1a593c99f4d4ea1562edc90

Observation 4e126015-5001-41e4-91e4-af8e39507901 · outbound

This paper cites Semantic understanding of scenes through the ade20k dataset,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Semantic understanding of scenes through the ade20k dataset,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.156160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.894886Z digest=sha256:616a388ce6344d3004d4954d619ca72a796105e16fcc83311f35951be22c8032

Observation 7747e316-46ac-479b-ab58-24c2647b9ae1 · outbound

This paper cites Blink: Multimodal large language models can see but not perceive,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Blink: Multimodal large language models can see but not perceive,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.147770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.897319Z digest=sha256:243bc64883b4045f6c5117f42dac070e5ffd0138c2815e7384ad177483aed74b

Observation 364a9878-6d36-401f-96cc-93085b091198 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:13:50.139288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:13:49.900049Z digest=sha256:0a42755abdff6b0c2d08f5999f888dc08e6b46e2d17ce6bccf74b9d2f72f8c0e

Observation 9b4a0313-598a-45b9-a452-6ac597410690 · outbound

This paper cites Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-05T16:13:49.902821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:13:49.902821Z digest=sha256:47f8f3f440ed504917841585a2e4dee62a43b9725a70220fb695f9fa11acda17

Observation 98a073a9-dad7-4763-b12e-095dbfdda19e · outbound

This paper cites Generative Judge for Evaluating Alignment.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Generative Judge for Evaluating Alignment

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-05T16:13:49.905786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:13:49.905786Z digest=sha256:06ed7f6b3e03f271d6664c99c3064a02089ca780eb2cdabe63221c957aabb474

Observation 1b5965e5-08fe-49a5-9ea9-bf3ee89ff9b0 · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-05T16:13:49.908713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:13:49.908713Z digest=sha256:9edd37acf8dfcefc30e002b0cea6e2e430f32d80fa44c49c3df0eb0231342b75

Pith citing papers

Observation 1448a7a0-5ab1-4524-a94a-4636fb16fc9c · inbound

Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding cites this paper.

Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:04.883139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:24:57.169737Z digest=sha256:56ebc1485fb1531129de95dc98ee8f8d41b14a78985211afa7e7924288130e80