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Paper Citation Record · LEDGER

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization

As of 20 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.706481Z digest=sha256:116d3c1e716c6ffa4af2b80d13d3403eb482f4e872302c708a3ee2a54e047b65

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.709698Z digest=sha256:02551b38c46e38e3ff37007ebacd21fbb2610d528e45cdcde2196ded5dbdcf00

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.712455Z digest=sha256:ae601bfe6943fae278d62b68341622851227eb0636078f919b736d5bcc14353c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.715435Z digest=sha256:a880d2c9f63dac82da3a1da37686226eb3952f43f25853491fac0bfa5784f0f8

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:da4a38de740f118b20a8f594f05fb7fc4a74cac6c500c07b2647ec9848385b2b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.721233Z digest=sha256:760f03ea68ba057077b883017aa77dddbcfecc2a139c93a25f212e57ba9af2f5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.724720Z digest=sha256:59df3c8485cd487e3baf8236f7fcd51dc47744f8fb084af59d90695719e4aa02

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.727222Z digest=sha256:e480c65b3930f974a182ffc3b7f2b2fccc811179b9813b7fb8c5cb77bd57f769

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.729835Z digest=sha256:71d6d53a511d9455f3065917f2e8518c9e982137313623598322452420f4cd4d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.732477Z digest=sha256:da56dcb598fdbec5e5140e850ddb52460b24a0970166ef6a2b1040d866a66567

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.735539Z digest=sha256:9774f644b1f0f3c97ea1cb2e1a7e547be81d83392118aae8fb130cca25dc4703

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.738470Z digest=sha256:aed6c1e91e36359719ba23e4d58bd69cbe21534f3042daa525c960545884b209

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.741437Z digest=sha256:1e55be3250840fe423bb08f607d038758c6818cb9397e7c3841b791268407c34

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.744039Z digest=sha256:736f1207f4021718814dbf0840b4a421293de046a98b39c4500fec9205723e97

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.746425Z digest=sha256:fe609020846e6125d8c50a3d9c189666766df7a82d4b32841c3ae118e65e189d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.748830Z digest=sha256:1e308c832c9e2cadece56326d92a8420747a9e8e139db8a8c4a366fa272c2bef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.751821Z digest=sha256:7eaecd4841115fa31a8855963c04d5b356fe4e4dfb895209b87c158b740932cf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.754733Z digest=sha256:8d5189500eaef0fea9fc1f3d7265f774ed48236b857fcee3c1852ac2fd0caa9f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.757824Z digest=sha256:cf43fcd5305e26b4bf50bf248dfe93248aefada211aaf033040b5c35bf3a24b1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.760440Z digest=sha256:75f478f4d8dbc00622c3aca0c9b5f5dec409076771a8d12a41a66cc3066960b7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.762993Z digest=sha256:9f6fffe7834214fdeefd64af69ec1637e384a9c43dca2753275a138e65f00760

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.765458Z digest=sha256:79cd7423293c0be2c1f497556bad459f3dbb343ee19504783da08a9ddfc9bdb5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.767856Z digest=sha256:f7fb2a5acf63dc7bc0e70ad2d6e62fabf0311db2a1970251dbc4cfd5c89af0b4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.770213Z digest=sha256:89f598b7f5b419b884ed69ccc05ab28c7c6a71db2f914b23e847c57c50873f18

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.772670Z digest=sha256:48c3b31804428f74e1c3c4f4681ac31833ed902855c7a97564d22a4bdb91a4e5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.775315Z digest=sha256:3e3f1f9e049ad9e47bb11d7bd0e6595188c0bb60eac5805c3b78b62220bc9a88

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.777963Z digest=sha256:4aa247107f797f36519b327399d03051c9225b11b0e3ab2a384b33cdd5f2b72c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.780538Z digest=sha256:0b1515d000988c0951767e8fc906783987b6edb73b6ebe2ca512b0c94aa5e93f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.783086Z digest=sha256:26ca64fffe7e0209923af424ed03c31acdd47b7dca8a1bc23cd59fab2054cc66

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.785572Z digest=sha256:fa5a6011f291ec8a7956f6335562d7a059619a671499b94620c800a4377035c8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.788129Z digest=sha256:30ed9a34ae93a4cfec2853e17bc532db3536ac55ad49cfdc6d6c6e9d3481fbdd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.790590Z digest=sha256:473e8f02268b1a11985325b4756ed9e97df04f4a83ea100492921dde3013c3a2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.793091Z digest=sha256:c7a300e7984b1e26ec9b7cc1465780aec24ebb871778cf95e64c7a5426c45fcf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.795765Z digest=sha256:6ed7ca62a8fbc0fc8a38d21bc3730604959b78ed47d18306f76c5f958d70abfa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.798446Z digest=sha256:004e5e01741cd95bc1a73582de73c820912f4782ee1687b6c2199317670e46d7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.800883Z digest=sha256:cbe761738bfed58779d33c8b5563c8b3eb22cda46be0a75ea829c491a0a920ee

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.803705Z digest=sha256:7eefe283b0bf4a0fd159cb3f6107f65a2aa6d4f5bf787c115e8253bf38c6d301

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.806200Z digest=sha256:cbfe05e756dee2f33c88bb4020506d9db5f8654a96c88a02ea7feb10ab994263

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.808533Z digest=sha256:85e204630a67c7cc8e4f0d81d83d6b995a1cc9510acccfb37a3a84f290f97936

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.810984Z digest=sha256:6ef1b3aaea23db941f08df679cd5ebb3b6c7683db5e5842d01aadba9c2d936ed

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.813393Z digest=sha256:c84cfdd0adfe1fb6de5757a5253c5481c2dabec3b69c22861e6ded09c0b43798

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.815720Z digest=sha256:8c80a4ed74768c80c7222ebb5e21be0d02ba5ac32cf9c99f046409ebb508f00a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.818117Z digest=sha256:fb4923bb1aab08c875e9480f1b5e1035df8f6339345f5673eb4b1268de15455f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.820836Z digest=sha256:2cfe99e58bbc61bef55a3efda51721b46c856989122ac03f52c74f32cdd8d150

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.823641Z digest=sha256:4f7ebdb8f74897025f422bd46c8086c0b85f3b2477aaafe497dce12144134b2a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.826507Z digest=sha256:d32302d871e4193522dc7df3a7bfc9bcfd23b9bfa0bbe157b5fcceed0846f552

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.829087Z digest=sha256:1c3984c37c77e114a0fe61d20efa3327739647ac4e250b0fa87f4dcf58137089

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.831543Z digest=sha256:6c542e1c1d01291239063867991ea144a048dd30ebabb63e1fda9b2e93e29002

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.834300Z digest=sha256:e25540fb77315c3ee62e8a342e088a2f8b785b187789b8559e9e4553cdaa4d51

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.836738Z digest=sha256:b8cc87e88a15ec2f62793665d0419b88648af92ac868f1e6e63f420f1b8cbae8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.839271Z digest=sha256:11774a85089c58acfeb534d4b34b7dd3de5a40eaac6dd8cc43f9704a9fef5a4b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.841724Z digest=sha256:43be7edfe9fb2ee79ab2dcb911ed632775c0a3e55dc8b5b9b502e7a8b58c2e55

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.844191Z digest=sha256:95139744e7799851e12ca8e120f86deef1080525c38f5efb84917be84ea4f32b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.846859Z digest=sha256:101794e095e8428268f9eba5a01182cf15dfdeaad2f2f1788a78f53f425dd9dc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.849456Z digest=sha256:1598a6fcd511c1ff6922e858274d7e91df8d12cff7c3a3917c56dccb9a5fd303

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.852209Z digest=sha256:5e2993f266d8b3356be6f44cf38a5fdcf5e7ad1285bb674046cf8a1aafe6fcf2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.854785Z digest=sha256:91447f298b399affbd6bcf5e72cc11112df37ae04009e43e124833df85495c0b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.857918Z digest=sha256:fbbf105ad556d6e7a6305aadac3c49984b786b92d1d2250c7666a311474f66b5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.860282Z digest=sha256:c63c72e7800fafbf9906aff0b50c496ff46fb89bf132997b06c43009ab933bf2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.863120Z digest=sha256:35557cdc0343eff6f31438ba59c4b2f6f1d37dae330614b33fa46370b1ca92ab

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.865965Z digest=sha256:384f8809e75b5cb48c4c4d584455cc7be76a15ff498e7f223780822b7cb155ba

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.868357Z digest=sha256:f698646627ace7c69470ce5e40701d2795c852e3bb550c5969bc004daf0e9ec7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.871208Z digest=sha256:19382f211b7ab76311025855d4e3d2e062e715ce2d81d2824ddc08858aa30475

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.877092Z digest=sha256:bffb7dbaa0280a7217fc430fdba5ab3bbecefc97fe901a908578936643297803

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.879553Z digest=sha256:053425c14ee79224235e858b7c07c60eb47ea91a2f3b284eb386d52944c54e04

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:d98ece42d46d8eca91c1ee8a8c4844eb568aba2b9e6c46e664a78e858e6a999f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.885017Z digest=sha256:56ea204002aa319682c3d51ec15f5c1dd63f1c14c23439ede786ac4228c5a383

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.887413Z digest=sha256:17682684b635170b98a4a69cf8b9e6e8e6a00a26aa5587d9597853ecb78a9d88

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.892452Z digest=sha256:ab4cd8e9679051eea45588cfadc27d7fc5bf26ef82b81f0ffe6b050a9c605e77

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.894886Z digest=sha256:a96b9e421be1357bd145632d666c363519f104687767263a8fceddfb28a19b70

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.897319Z digest=sha256:76baa8d5241e6b7691c7f9b29018eaf2b7f5ea7a62d000c9d444952cbf970110

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T16:13:49.900049Z digest=sha256:81f49f5c9a4c23198213537cce61ecd5ed9e1a5373213ae5c8511e009aba68f9

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=sha256:191129ddd825756ed306a95f67bb3052a643f7fe4de032f0b9a4d33a8de55e91

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=sha256:895629112406d9496872c5fec177f3e52d6ded98fdbcf5aa02961bbf8f8d0678

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:bbf12659699355d0809639b163c3c8454f6b6c91824a182ea4c0efbc6a506811

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T15:24:57.169737Z digest=sha256:8204c122ac35d501b283429eba95f58c41ab7f8dd20b57ab3dadd5ce6f5aee8d