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Paper Citation Record · LEDGER

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction

As of 12 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.09146.

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

pith.paper-citation-record.v1
2608.09146 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:42:20.657963Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • verified fuzzy20
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1f2de89-bee9-4631-a75d-960587296421 · outbound

This paper cites What is the best 3d scene representation for robotics? from geometric to foundation models,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction What is the best 3d scene representation for robotics? from geometric to foundation models,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 278a3dd5-10d4-46db-a802-be507f49fc88 · outbound

This paper cites Mpoc-slam: An rgb-d slam system with motion probability and object category in high dynamic environments,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Mpoc-slam: An rgb-d slam system with motion probability and object category in high dynamic environments,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9ceb0c16-b03b-4b28-b74e-22f36ee15312 · outbound

This paper cites Pmo-slam: Enhancing incremental optimization with probabilistic metrics for object slam,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Pmo-slam: Enhancing incremental optimization with probabilistic metrics for object slam,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bd9f2244-a01a-46c0-9f98-a4b9f5a0d1dd · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Orb-slam: A versatile and accurate monocular slam system,

Reference 4

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no resolver link, observed 2026-08-11T22:42:20.036612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.036612Z digest=sha256:fc13f5afb227ca8aa9ff868337ae696cd202b1178ca8ea3c4e07366e96274b77

Observation 3f4d30ab-8215-46b0-b0a9-004dcb4a2f00 · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Vins-mono: A robust and versatile monocular visual-inertial state estimator,

Reference 5

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source=pdf_text observed=2026-08-11T22:42:20.041604Z digest=sha256:83daf8a809332cc033432a52f1169f018d579af1b97d2f25d64895dca481645d

Observation c3aad7a4-1644-43e0-bb99-168e114fecc6 · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Dtam: Dense tracking and mapping in real-time,

Reference 6

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no resolver link, observed 2026-08-11T22:42:20.057329Z

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source=pdf_text observed=2026-08-11T22:42:20.057329Z digest=sha256:5d2d353cb9a4aa593ce08df10a88a7ef0bdb36a6434cd5a34958ba3f21b6d657

Observation 0fdbca46-a3e9-412a-9f41-5275e8caf9b6 · outbound

This paper cites Kinectfusion: real-time 3d reconstruction and interaction using a moving depth cam- era,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Kinectfusion: real-time 3d reconstruction and interaction using a moving depth cam- era,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.066425Z digest=sha256:1ef6c27474c52338f94a15920395b23a281f548ac76e259fb8bf3ed5f83e0bc0

Observation b01b0bcb-431a-4f85-be04-f783b0e343d8 · outbound

This paper cites imap: Implicit mapping and positioning in real-time,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction imap: Implicit mapping and positioning in real-time,

Reference 8

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raw_fallback, observed 2026-08-11T22:42:24.344752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.071657Z digest=sha256:247807aeb42208695dc3f32423af33aada28fa0b538ae602613be407c7c67835

Observation 64c6ba27-2d11-4909-9db6-5ebed11e0f60 · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Nice-slam: Neural implicit scalable encoding for slam,

Reference 9

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raw_fallback, observed 2026-08-11T22:42:24.174748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.077816Z digest=sha256:a9f385f92aad279f8812dae1e9a316297e8ef7afe5bca69f80be178eded55b96

Observation a93d07c4-6a61-440e-921b-af08026884ff · outbound

This paper cites Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam,

Reference 10

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raw_fallback, observed 2026-08-11T22:42:24.034863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.083093Z digest=sha256:9318c20185ae673b22f66e577d0c9cd4a161952f38e0fa159187c5cc02378355

Observation d5cf3ba3-006e-4709-9a12-ea8ce2039a54 · outbound

This paper cites Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T22:42:20.114735Z digest=sha256:9cc283286676dfa0286facfc4ef2be2f1fcaf023b59800092bac40619c5384c0

Observation 7dfa7b98-05a5-4ae5-b511-d9ad1f74cd7b · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,

Reference 12

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no resolver link, observed 2026-08-11T22:42:20.139481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.139481Z digest=sha256:348187400b4f4d14d8ef44f784deb2cb9bca04b378bfa91395d882a3e0c33d3f

Observation 18e45851-4736-4ad5-b463-b3a32ecf8beb · outbound

This paper cites Long-term visual simultaneous localization and mapping: Using a bayesian persistence filter-based global map prediction,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Long-term visual simultaneous localization and mapping: Using a bayesian persistence filter-based global map prediction,

Reference 13

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raw_fallback, observed 2026-08-11T22:42:23.771596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.174745Z digest=sha256:7076b3977375b9162f79dc6ffdac9abbd97c4d6486385c9b6a41366fbd19ff45

Observation eb3184d4-6cc9-41c0-ab4d-f44128b018d1 · outbound

This paper cites Robust incremental long- term visual topological localization in changing environments,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Robust incremental long- term visual topological localization in changing environments,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T22:42:23.664745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.214747Z digest=sha256:0f0bd01cce46077b9bfb76a569ae9afab9f97c9bd9658f3324dc1783c0e02b4b

Observation de0e7959-c75a-4c60-a7a4-813f69c19377 · outbound

This paper cites Elasticfusion: Real-time dense slam and light source estimation,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Elasticfusion: Real-time dense slam and light source estimation,

Reference 15

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no resolver link, observed 2026-08-11T22:42:20.264750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.264750Z digest=sha256:ccf00b3252a39f6becff5054399e81f8038129c73ce4ec6ca80c354991396cec

Observation 411e1cd5-7f8d-4777-b496-d5384b2cceea · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Codeslam — learning a compact, optimisable representation for dense visual slam,

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T22:42:23.484854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f124f499-71c0-4ebe-b09b-d18ae55cba04 · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.297741Z digest=sha256:5ce6de6b9905b58d97572c1d454419b5dd258860ca64cc981764d1408c32ee2e

Observation 8179bf67-d6d9-4443-89b9-4a379c93fc67 · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.302589Z digest=sha256:c0e391ff52ebf4968070572d2f8bb9304d579b1671297620545f05f85e735d5e

Observation 17dea3d5-6698-4b30-a68e-e375f25cff4b · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Instant neural graphics primitives with a multiresolution hash encoding,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.317729Z digest=sha256:bbb6027e551a24c74f9dd183526797584981b3aa1f2311b563d9691d37fbcb7e

Observation 053b4889-bf03-4874-a12f-8efda5738934 · outbound

This paper cites Direct voxel grid optimization: Super- fast convergence for radiance fields reconstruction,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Direct voxel grid optimization: Super- fast convergence for radiance fields reconstruction,

Reference 20

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raw_fallback, observed 2026-08-11T22:42:23.234734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4983b25e-3124-4d4e-95c2-0f69b1bc1f17 · outbound

This paper cites Tensorf: Tensorial radiance fields,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Tensorf: Tensorial radiance fields,

Reference 21

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no resolver link, observed 2026-08-11T22:42:20.341941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb1a2726-0dcf-4bd6-b690-4a0bd634a634 · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Barf: Bundle-adjusting neural radiance fields,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f1f3f049-d9f2-4629-9cbe-bfb7037181f0 · outbound

This paper cites Nope-nerf: Optimising neural radiance field with no pose prior,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Nope-nerf: Optimising neural radiance field with no pose prior,

Reference 23

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raw_fallback, observed 2026-08-11T22:42:22.754739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 643c9150-09c4-423d-924d-5e1701da50e1 · outbound

This paper cites Prosgnerf: Progressive dynamic neural scene graph with frequency modulated foundation model in urban scenes,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Prosgnerf: Progressive dynamic neural scene graph with frequency modulated foundation model in urban scenes,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0d6fab88-702c-42d8-8b67-74e7882e6ba6 · outbound

This paper cites Incremental joint learning of depth, pose and implicit scene representation on monocular camera in large-scale scenes,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Incremental joint learning of depth, pose and implicit scene representation on monocular camera in large-scale scenes,

Reference 26

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raw_fallback, observed 2026-08-11T22:42:22.220700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.365791Z digest=sha256:0e596aa4d0aef22f8b034b3525f9addedc6f7cc06e2be76b28373f9a85aadd73

Observation 53adaf07-0eec-4bdc-b98c-742994de373a · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Go-slam: Global optimization for consistent 3d instant reconstruction,

Reference 27

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raw_fallback, observed 2026-08-11T22:42:22.074750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.370204Z digest=sha256:5caacf1f4a5282789b91cdbbf7cc56eb5d31394d3c1a70bd26e0325b05d7a2c8

Observation c4097287-dae5-4976-8238-ab7b63deb042 · outbound

This paper cites Plgslam: Progressive neural scene represenation with local to global bundle adjustment,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Plgslam: Progressive neural scene represenation with local to global bundle adjustment,

Reference 28

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raw_fallback, observed 2026-08-11T22:42:21.894745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.374372Z digest=sha256:65b8d1c880ad75cc69c61b976672ff637c455b6a9dfb40285621f7a47bb0015f

Observation 61aab007-2f84-4862-aa6e-7bb796aa47cd · outbound

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

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Raft: Recurrent all-pairs field transforms for op- tical flow,

Reference 29

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raw_fallback, observed 2026-08-11T22:42:21.774755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.390665Z digest=sha256:2851f70d41d614b7a2076bfc2a2743ff62579bf70e6fc71865374d966c543c13

Observation 8d1f3f2d-ce74-43ad-872f-ef215f83dafa · outbound

This paper cites Optimal transport aggregation for visual place recognition,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Optimal transport aggregation for visual place recognition,

Reference 30

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raw_fallback, observed 2026-08-11T22:42:21.584765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.423299Z digest=sha256:3f747efe61425997f00e8bf77c810fc9f9b426b8ed9c536dbe9610106affa6c1

Observation 144fb4b4-b68b-4c2c-b441-6e2cd3cf208f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction DINOv2: Learning Robust Visual Features without Supervision

Reference 31

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no resolver link, observed 2026-08-11T22:42:20.454898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:42:20.454898Z digest=sha256:31d4a05f133550a72ea7926a223e54d33647a96eec5681b6c8ce6ae80baeb492

Observation 283a3dce-575f-43a1-bcc9-0559c68b8458 · outbound

This paper cites Nope-nerf: Optimising neural radiance field with no pose prior,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Nope-nerf: Optimising neural radiance field with no pose prior,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:42:21.427054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.494735Z digest=sha256:ae512bd18cd3fd6f18eb8f0083f2d03c77dd4f3c55e835cea680c6e38e9ee89b

Observation 85fc4b25-75bf-41d2-ba14-80d1328204b4 · outbound

This paper cites Progressively optimized local radiance fields for robust view synthesis,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Progressively optimized local radiance fields for robust view synthesis,

Reference 33

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raw_fallback, observed 2026-08-11T22:42:22.574747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:42:20.523656Z digest=sha256:e4503df496e150bdb351744d65b1a6e0e7b275f4562877a8807f1a269a143371

Observation 1d5f0845-7d81-4f5e-adf7-cbe11b91210d · outbound

This paper cites Flow-nerf: Joint learning of geometry, poses, and dense flow within unified neural representations,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Flow-nerf: Joint learning of geometry, poses, and dense flow within unified neural representations,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-11T22:42:21.334742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Vision meets robotics: The kitti dataset,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Vision meets robotics: The kitti dataset,

Reference 35

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This paper cites Fast-livo2: Fast, direct lidar–inertial–visual odometry,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Fast-livo2: Fast, direct lidar–inertial–visual odometry,

Reference 36

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Observation 5fecc445-9557-43cf-b7e1-131a395ea144 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 37

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