Paper Citation Record · LEDGER

SLAM-Former: Putting SLAM into One Transformer

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2509.16909.

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

pith.paper-citation-record.v1
2509.16909 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:06:51.468152Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:25:47.256701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:56:29.669563Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy0
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e555092-5185-4d2c-b81b-51593a6de651 · outbound

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

SLAM-Former: Putting SLAM into One Transformer Orb- slam: A versatile and accurate monocular slam system,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.404237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10243952-d24e-41a9-b03b-af8c5901eaea · outbound

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

SLAM-Former: Putting SLAM into One Transformer Lsd-slam: Large-scale direct monocular slam,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.452633Z

Source-reported events for the cited work

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Observation 3e923cbb-01c4-4f88-b065-48bf3928ce88 · outbound

This paper cites One billion points in the cloud–an octree for efficient processing of 3d laser scans,.

SLAM-Former: Putting SLAM into One Transformer One billion points in the cloud–an octree for efficient processing of 3d laser scans,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.530376Z

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Unavailable: canonical work link unavailable.

Observation bef30888-50c3-4f8d-927e-246990abed1b · outbound

This paper cites Kinectfusion: Real-time dense surface map- ping and tracking,.

SLAM-Former: Putting SLAM into One Transformer Kinectfusion: Real-time dense surface map- ping and tracking,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.612740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a348ec34-9768-45ab-8576-667abfa03577 · outbound

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

SLAM-Former: Putting SLAM into One Transformer Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.692675Z

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Unavailable: canonical work link unavailable.

Observation e1747c82-dea6-46cd-acc8-adabdde53348 · outbound

This paper cites Scenefactory: A workflow-centric and unified framework for incremental scene modeling,.

SLAM-Former: Putting SLAM into One Transformer Scenefactory: A workflow-centric and unified framework for incremental scene modeling,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.773006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f64b2da-6113-4436-9052-aacf774ad507 · outbound

This paper cites Mast3r-slam: Real-time dense slam with 3d reconstruction priors,.

SLAM-Former: Putting SLAM into One Transformer Mast3r-slam: Real-time dense slam with 3d reconstruction priors,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.855641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c34eb2-bea5-46b7-af73-8681217efd3f · outbound

This paper cites Vggt-slam: Dense rgb slam optimized on the sl(4) manifold,.

SLAM-Former: Putting SLAM into One Transformer Vggt-slam: Dense rgb slam optimized on the sl(4) manifold,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.910299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7867f40-e48b-4904-9a8b-ce988e609bc8 · outbound

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

SLAM-Former: Putting SLAM into One Transformer Dust3r: Geometric 3d vision made easy,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:49.964135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d3b7fe-49bc-4fe9-a5ba-c353792b244c · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

SLAM-Former: Putting SLAM into One Transformer Vggt: Visual geometry grounded transformer,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.011770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0197dd6-7846-4cb8-ba3e-082951b898f1 · outbound

This paper cites Streaming 4d visual geometry transformer,.

SLAM-Former: Putting SLAM into One Transformer Streaming 4d visual geometry transformer,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.074083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 620530b2-46b0-4e11-bed6-b7fdf39e7f96 · outbound

This paper cites Stream3r: Scalable sequen- tial 3d reconstruction with causal transformer,.

SLAM-Former: Putting SLAM into One Transformer Stream3r: Scalable sequen- tial 3d reconstruction with causal transformer,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.156167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c6695b3-d9c3-48c2-b7a1-24c2be7a2e81 · outbound

This paper cites Nicer-slam: Neural implicit scene encoding for rgb slam,.

SLAM-Former: Putting SLAM into One Transformer Nicer-slam: Neural implicit scene encoding for rgb slam,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.236153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaaaa258-a1c8-45dc-9890-9aeb8a970bfb · outbound

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

SLAM-Former: Putting SLAM into One Transformer Codeslam - learning a compact, optimisable representation for dense visual slam,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.305182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a7c6fb8-c734-46de-8897-8721ec5e22ea · outbound

This paper cites Deepfactors: Real-time probabilistic dense monocu- lar slam,.

SLAM-Former: Putting SLAM into One Transformer Deepfactors: Real-time probabilistic dense monocu- lar slam,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.365427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b407af49-2730-4960-90a0-9d22885283c6 · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo,.

SLAM-Former: Putting SLAM into One Transformer Mvsnet: Depth inference for unstructured multi-view stereo,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.465717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb9c1d8-7976-4577-94fd-59d59550802c · outbound

This paper cites Tandem: Tracking and dense mapping in real-time using deep multi- view stereo,.

SLAM-Former: Putting SLAM into One Transformer Tandem: Tracking and dense mapping in real-time using deep multi- view stereo,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.515487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffd0e1b0-567c-48e6-b3c5-2624d2fd2809 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

SLAM-Former: Putting SLAM into One Transformer Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.591666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537c6d69-dbef-4a52-80b3-94259e674b26 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

SLAM-Former: Putting SLAM into One Transformer 3d gaussian splatting for real-time radiance field rendering,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.700360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f337d70-6ea7-4b22-ade6-a9e632d9ec45 · outbound

This paper cites Nerf-slam: Real- time dense monocular slam with neural radiance fields,.

SLAM-Former: Putting SLAM into One Transformer Nerf-slam: Real- time dense monocular slam with neural radiance fields,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.789999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 510a1280-760c-45dc-970c-0cc21fc12711 · outbound

This paper cites Gs-slam: Dense visual slam with 3d gaussian splatting,.

SLAM-Former: Putting SLAM into One Transformer Gs-slam: Dense visual slam with 3d gaussian splatting,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:50.914767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a2ba70-fd82-43e0-8d2e-51c206bf3a20 · outbound

This paper cites Grounding image matching in 3d with mast3r,.

SLAM-Former: Putting SLAM into One Transformer Grounding image matching in 3d with mast3r,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.065601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18ca41b5-d227-4aa5-9b17-13c415dfd30a · outbound

This paper cites Fast3r: Towards 3d recon- struction of 1000+ images in one forward pass,.

SLAM-Former: Putting SLAM into One Transformer Fast3r: Towards 3d recon- struction of 1000+ images in one forward pass,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.187069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81503d3-ad4b-429c-955d-1efe0f5ccd5c · outbound

This paper cites π 3: Scalable permutation- equivariant visual geometry learning,.

SLAM-Former: Putting SLAM into One Transformer π 3: Scalable permutation- equivariant visual geometry learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.335630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0536bce7-9bee-458e-8b81-2a66bcf0ea59 · outbound

This paper cites 3d reconstruction with spatial memory,.

SLAM-Former: Putting SLAM into One Transformer 3d reconstruction with spatial memory,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.421709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ecab08-7b0d-4efa-a325-9dd71fb8bfa0 · outbound

This paper cites Continuous 3d perception model with per- sistent state,.

SLAM-Former: Putting SLAM into One Transformer Continuous 3d perception model with per- sistent state,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.424170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f141395-cb64-41f0-94e4-6830b69f029e · outbound

This paper cites Long3r: Long sequence streaming 3d reconstruction,.

SLAM-Former: Putting SLAM into One Transformer Long3r: Long sequence streaming 3d reconstruction,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.426449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc5422b-7dbd-42ea-b534-80e525712875 · outbound

This paper cites Deepv2d: Video to depth with differ- entiable structure from motion,.

SLAM-Former: Putting SLAM into One Transformer Deepv2d: Video to depth with differ- entiable structure from motion,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.428935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c687eb76-8256-48cd-b0be-45fd66020898 · outbound

This paper cites Deep patch visual slam,.

SLAM-Former: Putting SLAM into One Transformer Deep patch visual slam,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.431489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c43d292-3582-4e98-9112-6d466af01c58 · outbound

This paper cites Go-slam: Global optimization for consistent 3d instant reconstruction,.

SLAM-Former: Putting SLAM into One Transformer Go-slam: Global optimization for consistent 3d instant reconstruction,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.434047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea03207-17a9-40f6-a0bc-0907c7f8d509 · outbound

This paper cites A benchmark for the evaluation of rgb-d slam sys- tems,.

SLAM-Former: Putting SLAM into One Transformer A benchmark for the evaluation of rgb-d slam sys- tems,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.436915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1bfca93-03b2-41c2-b25d-9971c5a58774 · outbound

This paper cites Real- time rgb-d camera relocalization,.

SLAM-Former: Putting SLAM into One Transformer Real- time rgb-d camera relocalization,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.439105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde61634-9f3e-478b-995f-25015325de59 · outbound

This paper cites Slam3r: Real-time dense scene reconstruction from monocular rgb videos,.

SLAM-Former: Putting SLAM into One Transformer Slam3r: Real-time dense scene reconstruction from monocular rgb videos,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.441551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f9f2843-df0f-4b69-9e1f-748815739c53 · outbound

This paper cites The replica dataset: A digital replica of indoor spaces,.

SLAM-Former: Putting SLAM into One Transformer The replica dataset: A digital replica of indoor spaces,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.443868Z

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Unavailable: canonical work link unavailable.

Observation 8630b2aa-00e8-4efd-959c-df4c6b2c53ed · outbound

This paper cites Arkitscenes: A diverse real-world dataset for 3d in- door scene understanding using mobile rgb-d data,.

SLAM-Former: Putting SLAM into One Transformer Arkitscenes: A diverse real-world dataset for 3d in- door scene understanding using mobile rgb-d data,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.446499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e02da9-9a52-4303-a3ca-f10af6777e55 · outbound

This paper cites Scannet: Richly-annotated 3d reconstruc- tions of indoor scenes,.

SLAM-Former: Putting SLAM into One Transformer Scannet: Richly-annotated 3d reconstruc- tions of indoor scenes,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.448921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73d273e-8dae-45e4-81a4-02758b50a991 · outbound

This paper cites Scan- net++: A high-fidelity dataset of 3d indoor scenes,.

SLAM-Former: Putting SLAM into One Transformer Scan- net++: A high-fidelity dataset of 3d indoor scenes,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.451508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb54d606-5fe9-40d9-acf5-32545130f673 · outbound

This paper cites Hy- persim: A photorealistic synthetic dataset for holistic indoor scene understanding,.

SLAM-Former: Putting SLAM into One Transformer Hy- persim: A photorealistic synthetic dataset for holistic indoor scene understanding,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.453787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996a99e5-1739-4338-a110-5cbb0c98d13c · outbound

This paper cites Blendedmvs: A large-scale dataset for generalized multi-view stereo networks,.

SLAM-Former: Putting SLAM into One Transformer Blendedmvs: A large-scale dataset for generalized multi-view stereo networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.456443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9d48bf-a729-4502-b777-8ad178bfb4af · outbound

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

SLAM-Former: Putting SLAM into One Transformer Megadepth: Learning single-view depth prediction from internet photos,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.458781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d9e6d3-22fe-4a13-a46d-cee35335a3e7 · outbound

This paper cites Deepmvs: Learning multi-view stereopsis,.

SLAM-Former: Putting SLAM into One Transformer Deepmvs: Learning multi-view stereopsis,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.460958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79fcf76b-3567-41bc-a98d-a7a6e1a43174 · outbound

This paper cites Orb-slam3: An accurate open-source li- brary for visual, visual–inertial, and multimap slam,.

SLAM-Former: Putting SLAM into One Transformer Orb-slam3: An accurate open-source li- brary for visual, visual–inertial, and multimap slam,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.463152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 618682a2-735d-40cf-ab77-87db874eba47 · outbound

This paper cites Dense rgb slam with neural implicit maps,.

SLAM-Former: Putting SLAM into One Transformer Dense rgb slam with neural implicit maps,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.465435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75e43fac-7cfd-4552-a0e9-3d901ad8490e · outbound

This paper cites A benchmark for rgb-d visual odometry, 3d reconstruction and slam,.

SLAM-Former: Putting SLAM into One Transformer A benchmark for rgb-d visual odometry, 3d reconstruction and slam,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:51.468152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f6790194-255a-45be-b8cc-3d668a46d7f0 · inbound

Efficient Feature-Free Initialization for Monocular Visual-Inertial Systems Using a Feed-Forward 3D Model cites this paper.

Efficient Feature-Free Initialization for Monocular Visual-Inertial Systems Using a Feed-Forward 3D Model SLAM-Former: Putting SLAM into One Transformer

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-28T02:23:18.112933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3857705a-5b5b-4736-9e3e-823d8b5d3a0e · inbound

BA-T: An Iterative Transformer for Two-View Bundle Adjustment cites this paper.

BA-T: An Iterative Transformer for Two-View Bundle Adjustment SLAM-Former: Putting SLAM into One Transformer

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-28T02:23:18.112933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.