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Paper Citation Record · LEDGER

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

As of 21 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 23 inbound Pith citation observations for arXiv:2412.04463.

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

pith.paper-citation-record.v1
2412.04463 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:29:25.451433Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:31:56.430839Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:47:05.812667Z

Reference resolution

80 of 80 outbound references displayed

  • verified exact0
  • verified fuzzy56
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4023ad40-4685-45fa-97f6-a8114538047d · outbound

This paper cites Building rome in a day.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Building rome in a day

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 66114ee1-b80b-491c-bd83-12e96f2edc59 · outbound

This paper cites Codeslam—learning a compact, optimisable representation for dense visual slam.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Codeslam—learning a compact, optimisable representation for dense visual slam

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c8d83de9-eae4-4630-8185-7ae6a8931e75 · outbound

This paper cites Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fbd52a62-3ac6-466b-b83c-07f31c8714ff · outbound

This paper cites an unresolved cited work.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 19179edd-ffc7-4da0-a7e8-bf13c0febfd3 · outbound

This paper cites Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 211ceb82-8b0c-4673-8024-8816296b43ce · outbound

This paper cites Leap-vo: Long-term effective any point tracking for visual odometry.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Leap-vo: Long-term effective any point tracking for visual odometry

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation db5a24ee-cc44-4657-aec5-90bd924302f8 · outbound

This paper cites Deepfactors: Real-time probabilistic dense monocular slam.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Deepfactors: Real-time probabilistic dense monocular slam

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8310e12d-9fc6-4e73-ad41-56d89603dbe5 · outbound

This paper cites Monoslam: Real-time single camera slam.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Monoslam: Real-time single camera slam

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4af4614e-19ed-496d-95d6-d9475a0fe81d · outbound

This paper cites Lsd-slam: Large-scale direct monocular slam.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Lsd-slam: Large-scale direct monocular slam

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b20e4231-296e-4063-9fa1-9f60dfc11813 · outbound

This paper cites Direct sparse odometry.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Direct sparse odometry

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2587f32f-119d-4106-bc53-98fa0323b895 · outbound

This paper cites Efros, and Xiaolong Wang.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Efros, and Xiaolong Wang

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 976a042e-02da-4594-b330-e2bdd7381881 · outbound

This paper cites Monocular dynamic view synthesis: A reality check.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Monocular dynamic view synthesis: A reality check

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ec302c24-6b27-4be5-8085-21d50cc4415a · outbound

This paper cites Unsupervised monocular depth estimation with left-right con- sistency.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Unsupervised monocular depth estimation with left-right con- sistency

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a60ae7e1-2430-4f73-bd30-bfe3f14ad132 · outbound

This paper cites Bayes’ rays: Uncertainty quantification for neural radiance fields.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Bayes’ rays: Uncertainty quantification for neural radiance fields

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 34df18f1-c6d2-4701-901f-fe1ba35cc625 · outbound

This paper cites an unresolved cited work.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-11T21:29:26.396663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation aa479b64-42b9-4fa5-a678-7485b4cb31f3 · outbound

This paper cites Deep geometry-aware camera self-calibration from video.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Deep geometry-aware camera self-calibration from video

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 516ef235-1900-438f-97a9-bef1f27a72c8 · outbound

This paper cites Mask r-cnn.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Mask r-cnn

Reference 17

Resolution
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no resolver link, observed 2026-08-11T21:29:25.184022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0bad57d-f540-49f9-836e-da75de1ea1f4 · outbound

This paper cites Detector-free struc- ture from motion.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Detector-free struc- ture from motion

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 72b9f978-1afd-4ea7-a561-53d5edf219c2 · outbound

This paper cites Reducing drift in struc- ture from motion using extended features.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Reducing drift in struc- ture from motion using extended features

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f8e0387a-7668-4c1f-860b-a3cb17126486 · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4283b4b3-a19e-4526-9b75-bd33a3e2d903 · outbound

This paper cites Fast encoder- based 3d from casual videos via point track processing.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Fast encoder- based 3d from casual videos via point track processing

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 669eff40-7bc8-4728-a696-b862f2e39d10 · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 0f98a997-6d84-4b91-848c-a6f287f82a61 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c8655aaf-0a57-4db6-9f5c-d8053a8afd1b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Adam: A Method for Stochastic Optimization

Reference 24

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no resolver link, observed 2026-08-11T21:29:25.215623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1470c1c2-872c-4703-8ae0-473de9ad518f · outbound

This paper cites Parallel tracking and map- ping for small ar workspaces.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Parallel tracking and map- ping for small ar workspaces

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e51cd667-28ff-4236-9172-2e93e01a365a · outbound

This paper cites Robust consistent video depth estimation.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Robust consistent video depth estimation

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 139c7796-03cb-4ada-b4b9-ba87f69f4a40 · outbound

This paper cites MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 939b8c92-cd2d-49b2-92a1-660a0563063f · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Grounding Image Matching in 3D with MASt3R

Reference 28

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unresolved
no resolver link, observed 2026-08-11T21:29:25.235799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.235799Z digest=sha256:616db88176eca4cb4262cb95e1b4f1e6ebf9fac5bd2210b4f5483af152e1390d

Observation 0a1768a8-0371-47c5-8ab6-17e170f73ae0 · outbound

This paper cites Megadepth: Learning single- view depth prediction from internet photos.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Megadepth: Learning single- view depth prediction from internet photos

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9e11a6f9-ea88-4285-bed4-95e9a612841b · outbound

This paper cites Learning the depths of moving people by watching frozen people.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Learning the depths of moving people by watching frozen people

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.257911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d378077b-77f2-4aeb-a989-2412ebb4f110 · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dynamic scenes.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Neural scene flow fields for space-time view synthesis of dynamic scenes

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.243397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f81adddb-4711-4c73-848e-e086a27c248f · outbound

This paper cites Dynibar: Neural dynamic image-based rendering.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Dynibar: Neural dynamic image-based rendering

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.228332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation caf473cb-1374-4397-a1b8-fa43447a7b3a · outbound

This paper cites Barf: Bundle-adjusting neural radiance fields.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Barf: Bundle-adjusting neural radiance fields

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.215529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 19d3076a-659e-44cc-ae00-33c7662f7f04 · outbound

This paper cites Robust dynamic radiance fields.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Robust dynamic radiance fields

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.202886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.260105Z digest=sha256:981772a6ca8df225d8daed0601b4d7b4f95810378a761b872fd439d6bfff7bdb

Observation 4589fd00-a16f-492a-bc6e-b9e3578a350f · outbound

This paper cites Consistent video depth estimation.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Consistent video depth estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.190193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.263967Z digest=sha256:8f4656b5bc7ef9cfedaae301d51f18096d584913afb44ec901b2fc628a723559

Observation f98b30df-8596-45cd-b074-f56a6362ef52 · outbound

This paper cites Instant neural graphics primitives with a multires- olution hash encoding.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Instant neural graphics primitives with a multires- olution hash encoding

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.176750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.267315Z digest=sha256:9b983098c457beb0f7e895e6a50323a859d7d4b8d1affec478df113c1ffca052

Observation 12956c4c-96bd-41b2-ae4c-3303d0114f13 · outbound

This paper cites Orb-slam: a versatile and accurate monocular slam system.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Orb-slam: a versatile and accurate monocular slam system

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.270744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.270744Z digest=sha256:af7b4a6b611d76743a22ef654f6e58f612ef70b18be9a90337a285f4ad3006c0

Observation fb977dc6-c855-47c1-bed1-a20d16077473 · outbound

This paper cites Dtam: Dense tracking and mapping in real-time.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Dtam: Dense tracking and mapping in real-time

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.152987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.274328Z digest=sha256:ec41268919336e8c4939996df9f973d1f900ff6876c8dd6e1f2bd4e27129e4ce

Observation aa010ab9-a92a-48fb-8b06-ca143038c411 · outbound

This paper cites Nerfies: Deformable neural radiance fields.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Nerfies: Deformable neural radiance fields

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.139397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.277965Z digest=sha256:3a135586d0aaa0bc5fee45ac58b6187bf8285131078511009eeb897973c4cb50

Observation 99aac7b2-a7b3-4439-a946-3bfd02c12400 · outbound

This paper cites HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.281971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.281971Z digest=sha256:ef68108d803c78d77538d590ae5fe38bbf3553241cbfc97fbf0c90310780fc9e

Observation 509aeeff-f10d-4ce3-be4a-3bcac807a881 · outbound

This paper cites Camp: Camera precon- ditioning for neural radiance fields.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Camp: Camera precon- ditioning for neural radiance fields

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.126020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.286373Z digest=sha256:0a57e7e9006ddbe9f6a520bf91ed025852b3fffa9dd83f6fb448dbcb9f6c2f1c

Observation b6f41ee2-b681-48c6-9e84-e12cbcccc9fa · outbound

This paper cites Perazzi, J.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Perazzi, J

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.112450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.290487Z digest=sha256:a6b38e9f47957661306f263af6b0025c54da502838b61fb24090dc31c9fe7edb

Observation 5c6445f1-d7a3-445e-b60f-50707e4264b2 · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos UniDepth: Universal monocular metric depth estimation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.098775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.294746Z digest=sha256:9a9b9897c5c2d5a89ab6827015ad30cd2926cae87e3d5044e6b15a74daa9a371

Observation b54d264b-258d-414b-8724-95490bd59dc4 · outbound

This paper cites Visual modeling with a hand-held camera.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Visual modeling with a hand-held camera

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.085848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.299744Z digest=sha256:bfb4cb797b415dda2df20e05548ab26619c70591f295a6e69e975418529e6b60

Observation 84078575-1565-4eca-90d5-06179894f35e · outbound

This paper cites Detailed real-time urban 3d reconstruction from video.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Detailed real-time urban 3d reconstruction from video

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.073532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.303824Z digest=sha256:8c58fba21353df8611f981c4c86742486500d607f5fe39f6e777ba34ce241810

Observation ce26ab7b-45e6-4b25-87fc-3a04a69c3778 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.060777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.309424Z digest=sha256:d3233e940797b57bf2ef8ee4a69a0aa37f7466abba9a47b49fd9a03500fb8faf

Observation f3f1438e-7a2f-4faf-bfa6-a24e08f42cff · outbound

This paper cites Vi- sion transformers for dense prediction.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Vi- sion transformers for dense prediction

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.047521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.313552Z digest=sha256:37d926a2d647e48885ab0dd9b86c0294fee1de544167fb25a77526fc74cfad83

Observation 8d716ce4-c1f2-45e9-9494-ac6b676ebcf5 · outbound

This paper cites A scalable laplace approximation for neural networks.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos A scalable laplace approximation for neural networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.033725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.318636Z digest=sha256:adf16d3dcf7364848e40c191b7f06189f4effade367e9a49aba9726f1e3a915e

Observation 0ac3c454-3fb5-4181-95a5-621817b81b20 · outbound

This paper cites The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos The surprising effectiveness of diffusion models for optical flow and monocular depth estimation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.018925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.323090Z digest=sha256:ee8b00baab42cdd233485e958b33c0daa111516a3adf2db195f8acfa17c8365f

Observation ac541ad3-bfba-4672-8125-dd97c190509e · outbound

This paper cites Simplere- con: 3d reconstruction without 3d convolutions.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Simplere- con: 3d reconstruction without 3d convolutions

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:26.005039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.327439Z digest=sha256:f0c60b622154d1863649c94940b868d841b5e0218118ad5d656fc142fd7ae808

Observation facd0731-80f0-400c-bbd2-559c348c4d86 · outbound

This paper cites Structure- from-motion revisited.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Structure- from-motion revisited

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.990780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.331752Z digest=sha256:82d2786513f3c6b4695b49e920335d51c693fc1faafbed0a52f1579bfe0c3790

Observation 75733176-beba-4a49-b3d8-4a9451143121 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Pixelwise view selection for unstructured multi-view stereo

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.977006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.335668Z digest=sha256:3a8f951f20a2a2cb035c6c894a88bc5e7f7527808c7b104dc33e052372b99615

Observation 54025329-24ce-48ce-bdbf-c6f2d6270f9e · outbound

This paper cites Learning Temporally Consistent Video Depth from Video Diffusion Priors.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Learning Temporally Consistent Video Depth from Video Diffusion Priors

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.339643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.339643Z digest=sha256:e47c8c89b2e44b5078235d4588bde8db3b7a1140de4749eb966dd9ec6b785bf5

Observation c8b29c64-6e12-4be0-84be-dea956dc1e6f · outbound

This paper cites Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.963799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.344087Z digest=sha256:3ec527db59ab43e21fbd7118661acb3a38babbab3672d043b7641506d20235aa

Observation 414f70d0-171e-4c8f-869f-fe9cea8fb18e · outbound

This paper cites Photo tourism: exploring photo collections in 3d.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Photo tourism: exploring photo collections in 3d

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.348008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.348008Z digest=sha256:a778aeeaf8db040e312100b8b312e822ce04cfe667cc3d6f5b146b79c9c6d35d

Observation eee735e1-fbf6-4b05-bb0d-435c854c503e · outbound

This paper cites Structure from Motion for Panorama-Style Videos.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Structure from Motion for Panorama-Style Videos

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.351356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.351356Z digest=sha256:46d16d76d27d655ed2687e077c3c1664cb2af0ee2f730b4220a942d2daa753bd

Observation 57961f9c-5f97-43c1-8ffe-cb6f559ddb67 · outbound

This paper cites BA-Net: Dense Bundle Adjustment Network.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos BA-Net: Dense Bundle Adjustment Network

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.355064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.355064Z digest=sha256:80b70136ec6dfafec2559152f7dfb5dabed5c41ceec2b966bbe5bfc1a70bf5b3

Observation 1dd5cc9c-03b6-4da1-8858-e0018488ae9a · outbound

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

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Raft: Recurrent all-pairs field transforms for optical flow

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.942844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.358716Z digest=sha256:cddb9af9d2cb7d7bbd70a3d698031d9ec21c0a7083a0652ff684f4b340ad1ae7

Observation 4feb6890-812b-498d-93da-af347ce703f5 · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.930076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.362342Z digest=sha256:b7388293d02efa230f7bcc59b1934f09bc87077fa129cf3e364a24c3287811d8

Observation e1de20d4-4c61-40e1-9542-d7047cb1726d · outbound

This paper cites Deep patch visual odometry.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Deep patch visual odometry

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.916342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.365837Z digest=sha256:1c7fc0d7f7e94e080b09e7b8cab6f6320c3b6a3ad23e135ef7d6bad11d135392

Observation c0e2d272-3ebb-4726-a7fc-04b7efbfae06 · outbound

This paper cites Bundle adjustment—a modern synthesis.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Bundle adjustment—a modern synthesis

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.902773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.370789Z digest=sha256:66db87ffdf7494818ee7dcb348acae1fe160d8d70579b9740467d8486b98f079

Observation 6012f5ca-5170-400a-9be2-5df653f0c7e4 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Least-squares estimation of transformation parameters between two point patterns

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.375006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.375006Z digest=sha256:1c4f8835536282833dc8e54bb78fb58fbe538cf828ee3ecc3e3fb18bae10faf8

Observation 2b18d024-105b-4ac3-8490-3bcc95b8e104 · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Vggsfm: Visual geometry grounded deep structure from motion

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.878619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.379623Z digest=sha256:e3c47296f7a1785f780e322232f2f7984db58fad368bb4f43ca884a5efe4103b

Observation a895be9e-37b2-4e7f-bdbe-f04200099831 · outbound

This paper cites Shape of motion: 4d reconstruc- tion from a single video.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Shape of motion: 4d reconstruc- tion from a single video

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.383801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.383801Z digest=sha256:dee86fc3649b80459c2a53382888b1a9e849027643f8795038ed7ccb40170502

Observation 11ff8311-a09f-4306-be86-02db0c71cc9e · outbound

This paper cites Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.865051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.387975Z digest=sha256:438c1471333c2c5455e41a0f6eefe9e625ed3cb4b7ccd5e175718a9be0c3b7c7

Observation 031a9272-e265-4a16-a584-0c22bbf05520 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Dust3r: Geometric 3d vision made easy

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.849713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.392239Z digest=sha256:dfe87665c5d1e23307c3c535d01d435191eb94bb132bc912252deb753bc8e467

Observation b7c24b33-2696-4457-bce3-2ea5d710119b · outbound

This paper cites GFlow: Recovering 4D World from Monocular Video.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos GFlow: Recovering 4D World from Monocular Video

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.397285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.397285Z digest=sha256:b03cd0e6bbe9d0aa1baf0683c2ae20bed6ef1b5cfbb4c9b86f7e5f009018c851

Observation d9d35ce3-3823-41ab-bc79-2dd570a49db7 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Tartanair: A dataset to push the limits of visual slam

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.836016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.401785Z digest=sha256:130ac4f53d923590c0fcf7d7efa2f05a5f5fb38bda4d13a7a21bf137f1d733e1

Observation 9e99e765-df05-4bae-8ac6-48506f4482a5 · outbound

This paper cites Neural video depth stabilizer.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Neural video depth stabilizer

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.822094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.405780Z digest=sha256:0747d654f66e2d2d5c2f8a3282ec0fe15ba71c7ef6708643f15c674ea6788bc9

Observation 3dc991ce-946b-4328-b3b3-97cf1adf4889 · outbound

This paper cites CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.410035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.410035Z digest=sha256:dfaf903ca633c23183e30c08db3c1820300a5d2973c7b498f39d2015acb24c72

Observation b176b573-fc10-4435-b539-5d6be1665468 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Depth anything: Unleashing the power of large-scale unlabeled data

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.809757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.414215Z digest=sha256:d435ee3aa3ccf405a7062d1fb6d47922ad5709519b65f4c7d931964011de7fc0

Observation 2ebbf17e-81ba-4f3e-ad93-534baf4d4e9f · outbound

This paper cites Depth Anything V2.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Depth Anything V2

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.418476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.418476Z digest=sha256:a702e26fda7c34fef2350ea120ad58f01a1a061cd7d39966ae671b3ce2012534

Observation c4190c9d-4ac8-496a-8aa7-2f41f1524a38 · outbound

This paper cites D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.796260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.422920Z digest=sha256:d0b0c9acefb24bffee92d04d70a8f92c00d119825cce20ae8516128bd9d6af52

Observation b4a7f816-1fcf-4571-99f7-6a90d7d61af6 · outbound

This paper cites Learning to recover 3d scene shape from a single image.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Learning to recover 3d scene shape from a single image

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.782043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.427069Z digest=sha256:a6f126f2299d91b058318b95779f224973515f80050a8aed635cfee28156cb3b

Observation 925dac6b-5eff-4914-82c2-bae3c3c0d8dc · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.767015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.431600Z digest=sha256:6464a9ce466de7f6ff9d5b524be06de033fad177d0080faf169b9ed014e8217c

Observation 7c32233d-4432-4738-b2fc-4020613dc537 · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.436381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.436381Z digest=sha256:f24311a556a287eb82f466bc811c9c4dcc837553a568a0b094ad8aad4ba42f18

Observation 4da64e3b-b0ca-45f6-898a-595149dc8332 · outbound

This paper cites Consistent depth of moving objects in video.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Consistent depth of moving objects in video

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:25.440739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:25.440739Z digest=sha256:bddfb2b4f3b312d84d2cce79d9ae20df4fce297e269bdd52b29b817d8ee6fed1

Observation a8e7706d-bf00-430b-8139-f3adc5d546f9 · outbound

This paper cites Structure and motion from casual videos.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Structure and motion from casual videos

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.744321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.444650Z digest=sha256:29c952acdba786bcc24b887de197a4bada59bb844ce80cbde9d50bd2db86f05c

Observation 22a1e99b-f70f-4c72-90ef-3153369b99d8 · outbound

This paper cites Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.729616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.448077Z digest=sha256:5c25cacb43933b0ed1a8c1188a48cebb36fa7effa4856aee2dd5056960ba90d4

Observation ecea81f4-c7a2-47b6-834c-1beef7a4d0bc · outbound

This paper cites Implementation Details A.1.

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos Implementation Details A.1

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:29:25.714525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T21:29:25.451433Z digest=sha256:6a14036556eecb71cd69163ae85cd54a1a20e70ca98f500ff83591f31da01978

Pith citing papers

Observation 360c94b3-c92c-473a-bf4c-538f9bf39895 · inbound

Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos cites this paper.

Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T21:07:39.876857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:07:39.876857Z digest=sha256:335347d08c2faecef33ce47599496d9c5ba0dbf2fd7678344591778828405d92

Observation 6f5f81e3-65ef-4330-b93e-691b924748b7 · inbound

Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos cites this paper.

Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T16:56:07.167739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:56:07.167739Z digest=sha256:d5c74927be9ce31a1022496642de340d7ec6a8ca1e0c77f99bc8cb72ff8dd53f

Observation e7a4c153-a992-4c5d-a000-4be09934141e · inbound

Continuous 3D Perception Model with Persistent State cites this paper.

Continuous 3D Perception Model with Persistent State MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T17:20:07.259534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:07.259534Z digest=sha256:a88d971cc2a81f680a72b10b1d50c9b6c9d2db72ad7bd2c9d69154fec1e4020e

Observation 2722be67-35bc-4efb-bb44-a029060e0e73 · inbound

Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos cites this paper.

Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:55:05.046931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T19:54:28.310854Z digest=sha256:14b9636badc85c3e8c6333463a60370ac70cc7dcf16b3bf6ccac1256d4419588

Observation 6c57dced-b6bd-4e26-8913-07409ef61ca6 · inbound

Towards Understanding Camera Motions in Any Video cites this paper.

Towards Understanding Camera Motions in Any Video MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:31:56.430839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:31:56.430839Z digest=sha256:042a1cae45a1aca93091e07a887073862cdbabdca50e7345d563d7df3e6bb812

Observation 1b02de3a-44a6-452b-9108-17f722f4bfa9 · inbound

SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos cites this paper.

SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:15:41.881947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:15:41.881947Z digest=sha256:f09bcde0ebc74691428e8909bc509fb59de21f629608437cbf1ba2ff8e6058c9

Observation 99decadd-d695-4b54-844e-fc384ba3abf9 · inbound

LaRI: Layered Ray Intersections for Single-view 3D Geometric Reasoning cites this paper.

LaRI: Layered Ray Intersections for Single-view 3D Geometric Reasoning MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T10:22:04.563972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:22:04.563972Z digest=sha256:3f88fdebd7ba11b1f965411ae8f1c608c16287b8810038912af0be099026db57

Observation 39fcdb1e-82cc-4174-9ba4-d22e3db67c5e · inbound

Large-scale visual SLAM for in-the-wild videos cites this paper.

Large-scale visual SLAM for in-the-wild videos MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:31:19.460262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:19.460262Z digest=sha256:b4ca03ae9fea3009eed33dc3f4b5dda9841679782c8a9d8f964e5be30a2ddb49

Observation 362bdad2-a1c8-437d-acb5-8a4d6b27eab4 · inbound

Visual Imitation Enables Contextual Humanoid Control cites this paper.

Visual Imitation Enables Contextual Humanoid Control MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T23:48:57.061249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:48:57.061249Z digest=sha256:7cb246017780938ace18718de3ff1d54deb927ffc09d5cd61c3a5470404ecb26

Observation 14c45576-ad59-4028-9493-c01e46a67481 · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:34:36.887261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T08:34:36.824053Z digest=sha256:932f93667a60f27f9835a3c51eecf28d07f675157f9cf648b9a8c2fac4451aa5

Observation 075cd30b-da11-488e-adc4-07f2b80770a7 · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T01:00:51.337552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T00:59:13.826054Z digest=sha256:a0b259b2da5bab3ed3944f99e91cecd31543b1565bb0bbe06858a21f2a85e219

Observation 8cfd81b2-af94-47ef-b3cc-1fafb5ec44a2 · inbound

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos cites this paper.

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:15.857646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:15.857646Z digest=sha256:32847238fd27fc524ad5da0f2f585d394472555fdd30800a4caf68d0851b32c4

Observation cf9cf5b2-ca4d-4cd9-ba6b-a15cdb08248e · inbound

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details cites this paper.

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:19:44.200428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T21:19:44.144633Z digest=sha256:35a8e05585fbf82fd3780a0684fbdae319c0f4265ac488fa2a29c351fefa681d

Observation ee0ab505-117d-4f3f-b412-020d997975fd · inbound

Reconstructing 4D Spatial Intelligence: A Survey cites this paper.

Reconstructing 4D Spatial Intelligence: A Survey MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 169

Resolution
unresolved
no resolver link, observed 2026-08-06T13:02:29.290397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:29.290397Z digest=sha256:302651ada6b33fc3ce2efb9ccc128e735520a211cae74e154b723ee4d6792608

Observation d5fa46c2-f9c5-4391-9884-9470005e29cd · inbound

4DNeX: Feed-Forward 4D Generative Modeling Made Easy cites this paper.

4DNeX: Feed-Forward 4D Generative Modeling Made Easy MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:01.341357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:19:01.341357Z digest=sha256:24a9853510c211485e0c4c5f5004ae305131abd8b4ae19efd2879bbe1b79df26

Observation 62d15d25-556c-46c1-bd26-2ed733f0da6b · inbound

InstantSfM: Towards GPU-Native SfM for the Deep Learning Era cites this paper.

InstantSfM: Towards GPU-Native SfM for the Deep Learning Era MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T09:49:44.719772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:49:44.719772Z digest=sha256:56b6dbb7d1f85b62782a72fa77b422e0fd679fe9414b7258975b869949302b3a

Observation b7a6c0fe-07b2-4668-a8bd-3ab9a1dd28f7 · inbound

Large Video Planner Enables Generalizable Robot Control cites this paper.

Large Video Planner Enables Generalizable Robot Control MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:28:33.877549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T21:26:32.048309Z digest=sha256:7ea9cbb37e0f296a481b52011718c8ebcc4ca76a7b31d96d3b2a065c78c41888

Observation 92f69588-31c3-43e1-8b7d-7643a6d24169 · inbound

Quantitative Video World Model Evaluation for Geometric-Consistency cites this paper.

Quantitative Video World Model Evaluation for Geometric-Consistency MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:14:53.088956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T03:11:03.060052Z digest=sha256:64c7c6a683180f61dbd7089ccb6be0fa56cd8a99041f551e7376bd28142c6a96

Observation bf613588-743a-4a57-b64a-b83b4b3fa693 · inbound

Learning Efficient 4D Gaussian Representations from Monocular Videos with Flow Splatting cites this paper.

Learning Efficient 4D Gaussian Representations from Monocular Videos with Flow Splatting MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:04:21.706986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T06:58:21.697133Z digest=sha256:2e2502c17849451d00e792c88ec1f02a907122ad8e9a77decc435aa16b8b8169

Observation 8488f84c-da5d-485e-ae7e-fba8f09e4e16 · inbound

LightCrafter: PBR-Conditioned Video Diffusion Refinement for Controllable and Consistent Relighting cites this paper.

LightCrafter: PBR-Conditioned Video Diffusion Refinement for Controllable and Consistent Relighting MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-10T13:47:05.813940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-10T13:41:50.229019Z digest=sha256:5d63e34751621e6b4795f4c17c90d6b4178c2e82e37d0c88b9d6d256a8edb110

Observation 2699f28b-91c7-4f1c-bd9b-8ec716fad5a2 · inbound

LightCrafter: PBR-Conditioned Video Diffusion Refinement for Controllable and Consistent Relighting cites this paper.

LightCrafter: PBR-Conditioned Video Diffusion Refinement for Controllable and Consistent Relighting MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T08:02:12.124903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:02:12.124903Z digest=sha256:c3027b144af138777cb2209c162741278ac43c6e7ab6c648307374c4be210516

Observation a2079b88-4b28-4d8e-bea1-a733b09b2c2c · inbound

NSL-SLAM: High-Fidelity Neural Structured-Light Depth for Practical SLAM and Reconstruction cites this paper.

NSL-SLAM: High-Fidelity Neural Structured-Light Depth for Practical SLAM and Reconstruction MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T13:17:58.446114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T13:17:58.446114Z digest=sha256:6e7015a8a63637fe82567041bf362bdb3addb2552c24b20056a1bdb6046d774d

Observation 92908842-d826-41de-bd15-bf46b2f7bddc · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:03.547097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:14:03.547097Z digest=sha256:b594cd8815bc69d348237b8290e7b782b88902a43a919c07904900d263a74e03