Paper Citation Record · LEDGER

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs

As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2604.22065.

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

pith.paper-citation-record.v1
2604.22065 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T21:01:04.551811Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

verified exact1
verified fuzzy16
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2fa4093-8515-4af1-a9dc-c40feb0329bb · outbound

This paper cites Factor graphs for robot perception.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Factor graphs for robot perception

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:12.982946Z

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 8b04f12f-8e12-4c63-a30b-817c6525864d · outbound

This paper cites iSAM2: Incremental smoothing and mapping using the Bayes tree.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs iSAM2: Incremental smoothing and mapping using the Bayes tree

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:12.975758Z

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 a38534cc-91c6-449c-8af4-b8ec6b22890f · outbound

This paper cites Nested sampling for non- Gaussian inference in SLAM factor graphs.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Nested sampling for non- Gaussian inference in SLAM factor graphs

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:12.979401Z

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 8c39f5ac-d05e-4b5e-9c8b-b21146954c27 · outbound

This paper cites Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:51:04.545014Z

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 69c8a46f-70c1-4e45-8d77-69f554dc77c5 · outbound

This paper cites dynesty: A dynamic nested sampling package for estimating Bayesian posteriors and evidences.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs dynesty: A dynamic nested sampling package for estimating Bayesian posteriors and evidences

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.021461Z

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 8280b155-0fff-402d-b405-1cf8f4836deb · outbound

This paper cites iSAM: Incremental smooth- ing and mapping.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs iSAM: Incremental smooth- ing and mapping

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.024873Z

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 6324d292-f81d-450e-b334-10fc5832ca1c · outbound

This paper cites g2o: A general framework for graph optimization.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs g2o: A general framework for graph optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.011718Z

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 b6d5edaf-d720-4841-a79b-5edd23ed4db3 · outbound

This paper cites Past, present, and future of simultaneous localization and mapping.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Past, present, and future of simultaneous localization and mapping

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.014884Z

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 244bad1b-13c3-4048-8799-3344bce49b03 · outbound

This paper cites Towards a robust back-end for pose graph SLAM.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Towards a robust back-end for pose graph SLAM

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.018017Z

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 f2e6b455-59eb-417d-ac08-feb9eba5c356 · outbound

This paper cites Robust map optimization using dynamic covariance scaling.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Robust map optimization using dynamic covariance scaling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.028380Z

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 c39f30f0-1b9c-4cf6-9ba7-025539346f39 · outbound

This paper cites Inference on networks of mixtures for robust robot mapping.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Inference on networks of mixtures for robust robot mapping

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.001045Z

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 feb13f50-4d8e-4a8f-a696-155cf54ed720 · outbound

This paper cites Thrun, W.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Thrun, W

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.005012Z

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 a6eab28a-e57a-476d-b378-c564cc8ae2a9 · outbound

This paper cites FastSLAM: A factored solution to simultaneous localization and mapping.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs FastSLAM: A factored solution to simultaneous localization and mapping

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:13.008398Z

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 a46e6833-a709-4732-8aea-6e2b9d53825f · outbound

This paper cites A benchmark for the evaluation of RGB-D SLAM systems.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs A benchmark for the evaluation of RGB-D SLAM systems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:12.993648Z

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 05aebea9-ff86-4fbe-ab55-70f06cb9ffa9 · outbound

This paper cites A tutorial on quantitative trajectory evaluation for visual(-inertial) odometry.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs A tutorial on quantitative trajectory evaluation for visual(-inertial) odometry

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:12.986694Z

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 e0bc1d8b-6651-437c-a7fe-1ccea451e8ee · outbound

This paper cites Bar-Shalom, X.-R.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Bar-Shalom, X.-R

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:12.990134Z

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 755d1eb6-8529-4430-b9ce-a55c7cdab39b · outbound

This paper cites Assessing bimodality to detect the presence of a dual cognitive process.

SNGR: Selective Non-Gaussian Refinement for Ambiguous SLAM Factor Graphs Assessing bimodality to detect the presence of a dual cognitive process

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T16:33:12.997289Z

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.

Pith citing papers

No inbound Pith citation observations are available.