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Paper Citation Record · LEDGER

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.25260.

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

pith.paper-citation-record.v1
2607.25260 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:01:31.949175Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

14 of 14 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc547581-69bf-4310-bbc1-f68413814575 · outbound

This paper cites Convex Programming Approach to Powered Descent Guidance for Mars Landing,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Convex Programming Approach to Powered Descent Guidance for Mars Landing,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:30.514772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:30.514772Z digest=sha256:3eef4dd4d057d3de232e2ebb5e18fe88c4f0a1bd815ae19f64f6cf71b6f0f722

Observation 0e093d13-1efb-424c-b210-ef5a898410bb · outbound

This paper cites Minimum-Landing-ErrorPowered-DescentGuidanceforMarsLandingUsing ConvexOptimization,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Minimum-Landing-ErrorPowered-DescentGuidanceforMarsLandingUsing ConvexOptimization,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:30.704880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:30.704880Z digest=sha256:04e616430c9671a23faad7fdfb2cebbc44490cc872827296a7b6c4b318ea8a1b

Observation 5516cd76-31b8-4e1e-a85f-a35f752ced51 · outbound

This paper cites Successive Convexification for Real-Time Six-Degree-of-Freedom Powered Descent Guidance with State-Triggered Constraints,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Successive Convexification for Real-Time Six-Degree-of-Freedom Powered Descent Guidance with State-Triggered Constraints,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:30.840356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:30.840356Z digest=sha256:e388adf0467f36e9e2058145eb3bcc30719e9f3a9fcc00615eef7020635306de

Observation 7665044b-bc74-41ea-9ad9-706f9cff47e0 · outbound

This paper cites Advances in Trajectory Optimization for Space Vehicle Control,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Advances in Trajectory Optimization for Space Vehicle Control,

Reference 4

Resolution
verified exact
doi, observed 2026-08-01T03:08:39.787424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-01T03:01:30.949578Z digest=sha256:d3dbe1c289ff5e7b270c5a59d44f37e349cd73aeb88b34b35e3e2cd5cbacc4ef

Observation 9ae1c6c6-d176-4e7a-a832-026543306adb · outbound

This paper cites CVXGEN:ACodeGeneratorforEmbeddedConvexOptimization,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization CVXGEN:ACodeGeneratorforEmbeddedConvexOptimization,

Reference 5

Resolution
verified exact
doi, observed 2026-08-01T03:08:39.503579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-01T03:01:31.052763Z digest=sha256:298eb96f63fef90185ea33f07f3fd7be62699a592f670c991abf8cb8f6bec4a6

Observation 876a6719-d317-4ed7-831e-1d1a5043112a · outbound

This paper cites ECOS: An SOCP Solver for Embedded Systems,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization ECOS: An SOCP Solver for Embedded Systems,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:31.175147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:31.175147Z digest=sha256:d22c5bfa1318e83cfc871e0778dc7bd9c68f3015477d199e902e5649e1db0651

Observation 0e3ab71d-35d3-4dd3-b863-670184a46923 · outbound

This paper cites OSQP:AnOperatorSplittingSolverforQuadraticPrograms,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization OSQP:AnOperatorSplittingSolverforQuadraticPrograms,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:31.274139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:31.274139Z digest=sha256:baf787d8ef65378f5b0b5daeabdc4af707da3e6ad3634d28b3be94419e2c72c4

Observation aa0be93d-10fc-4cca-98a7-0a2cc95ba33d · outbound

This paper cites Proportional-Integral Projected Gradient Method for Conic Optimization,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Proportional-Integral Projected Gradient Method for Conic Optimization,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:31.422691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:31.422691Z digest=sha256:1def5845b33606b3ebebd5a4febd55a374be007acdffc2d440299c1b85ab17ad

Observation 933dfd1b-c92d-4f08-b298-fbfa35ca7b1e · outbound

This paper cites Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:31.523788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:31.523788Z digest=sha256:e25e71d3f2e7f9fbfad0baf26fdc1abb170bc2320da624a97fd53af6fd25717d

Observation 5aeb8038-4bdb-4ffe-a214-152d361094e2 · outbound

This paper cites A Customized First-Order Solver for Real-Time Powered-Descent Guidance,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization A Customized First-Order Solver for Real-Time Powered-Descent Guidance,

Reference 10

Resolution
verified exact
doi, observed 2026-08-01T03:08:39.257900Z

Source-reported events for the cited work

correction dated 2022-02-02. Source: crossref record 10.2514/6.2022-0951.c1->10.2514/6.2022-0951:correction, observed 2026-07-11T03:08:20.652438+00:00. This notice travels one citation hop only.

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Observation 9af8a5b2-eb61-481b-bc26-fae9e73fbef3 · outbound

This paper cites Customized Real-Time First-Order Methods for Onboard Dual Quaternion-Based 6-DoF Powered-Descent Guidance,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Customized Real-Time First-Order Methods for Onboard Dual Quaternion-Based 6-DoF Powered-Descent Guidance,

Reference 11

Resolution
verified exact
doi, observed 2026-08-01T03:08:38.961718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-01T03:01:31.654015Z digest=sha256:e87ac936755252ba8db752c5d06fdad496894565c4a9eff113cdf76903f05101

Observation 6cb0fe44-a310-4dcc-8cb9-6a94ec09cf58 · outbound

This paper cites Scaling and Balancing for High-Performance Computation of Optimal Controls,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Scaling and Balancing for High-Performance Computation of Optimal Controls,

Reference 12

Resolution
verified exact
doi, observed 2026-08-01T03:08:38.717809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-01T03:01:31.737271Z digest=sha256:6c5854f99569de8b59cd73473d15d58d3e0e38d903a362a5edfb501f973622db

Observation fac575e8-afec-42aa-90a1-102a87a9d235 · outbound

This paper cites an unresolved cited work.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:31.836984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:31.836984Z digest=sha256:3853373489e678ca0e0bf2f703b8ceaefd2a3ab656fd46857ca2661ca7de82d3

Observation 71497371-6535-4e15-9219-66007a9d9702 · outbound

This paper cites Proximal Algorithms,.

Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization Proximal Algorithms,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:31.949175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:01:31.949175Z digest=sha256:aa74179ec374795553bb1f4ae083b8956f798d8a81df3347f3a949e5e6431c8d

Pith citing papers

No inbound Pith citation observations are available.