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Paper Citation Record · LEDGER

Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.02656.

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

pith.paper-citation-record.v1
2306.02656 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:45:29.363975Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:37:45.962117Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ae7a330a-1464-4b3b-9d4c-e85d271297ae · inbound

IRisPath: Enhancing Costmap for Off-Road Navigation with Robust IR-RGB Fusion for Improved Day and Night Traversability cites this paper.

IRisPath: Enhancing Costmap for Off-Road Navigation with Robust IR-RGB Fusion for Improved Day and Night Traversability Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T22:45:29.363975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:45:29.363975Z digest=sha256:015332cc1bceb65dda31edfbd474c4365bf1063e0b557c13ea0480cd768f85df

Observation 7db2330b-81b9-4e2a-bafe-730a3adbc926 · inbound

Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving cites this paper.

Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T16:28:36.430175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:28:36.430175Z digest=sha256:ea69774717c74293084ee356fd7aacac0b4c1f197992bfd57edd3142499ca169

Observation 05a58130-e0f8-4f03-aafb-43af92765adc · inbound

Targetless Intrinsics and Extrinsic Calibration of Multiple LiDARs and Cameras with IMU using Continuous-Time Estimation cites this paper.

Targetless Intrinsics and Extrinsic Calibration of Multiple LiDARs and Cameras with IMU using Continuous-Time Estimation Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:28.804810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:28.804810Z digest=sha256:28a432b8aecb77fb70e0c880f84c08e55d60df0a25f63ae455f0204e126d1f53

Observation 28d0a3c3-6ff2-4eda-9057-3727a87fac94 · inbound

MamV2XCalib: V2X-based Target-less Infrastructure Camera Calibration with State Space Model cites this paper.

MamV2XCalib: V2X-based Target-less Infrastructure Camera Calibration with State Space Model Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:37:45.964745Z

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=2026-08-06T10:37:45.863395Z digest=sha256:5087946d48af750687943975059cf7aa6d15cacb0ab71c5d6bfe3aadc1ed83a7

Observation d638e387-a5ef-4d92-8ec9-e9448d8e4163 · inbound

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization cites this paper.

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-11T20:01:29.857655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:01:29.857655Z digest=sha256:358e648af6977d9f6c61ac353f92f0c2c64a13a5c4a6e4d9d3cea70648a07ab2