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Paper Citation Record · LEDGER

Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.10648.

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

pith.paper-citation-record.v1
2407.10648 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:25:18.240219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:52.666116Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 951ab7bd-f575-4b3e-85f4-d69788a0d94b · inbound

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation cites this paper.

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:25:18.240219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:25:18.240219Z digest=sha256:f7a20ed341f28824b37614685380d790f877140023c5d32f01beb13f0930f7d6

Observation 347fb54a-7ece-4caa-bd65-994b173fdad7 · inbound

ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards cites this paper.

ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T15:10:48.616444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:10:48.616444Z digest=sha256:8b66be72c38e6736d03fa27daf6f7742dd463d7a4a5d2db9536b4e6182c862af

Observation 6e2e5448-9d4e-4313-a88a-1320a962930f · inbound

HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs cites this paper.

HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:40.230914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:40.230914Z digest=sha256:9d9ba9dd2be1946fcf5d6144e50a4fc09cebf3579abc18f7635fb92ac25cda8b

Observation a312886e-5765-4578-b260-3cdbb7091b12 · inbound

Reactive Aerobatic Flight via Reinforcement Learning cites this paper.

Reactive Aerobatic Flight via Reinforcement Learning Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:28:28.227391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:28:28.227391Z digest=sha256:931c6ae2ae13d94b27a1e5e253219ad1f0d5a4edabe2bc1a730da91ddd97b5d9

Observation 1a9b1c23-fb7f-447c-b721-65a4b6889ba8 · inbound

CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight cites this paper.

CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T16:56:46.482523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:56:46.482523Z digest=sha256:f2935b0452700c6026ba36a7f589b91db9a2195f8bdc8573df2fd5981a121a8e

Observation 9f7788cb-ecf2-47aa-b11f-d59a28bef851 · inbound

Precise Aggressive Aerial Maneuvers with Sensorimotor Policies cites this paper.

Precise Aggressive Aerial Maneuvers with Sensorimotor Policies Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:30:52.817957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T19:02:53.204951Z digest=sha256:3b13935370fa8dfa127b791aeaf66daa6184e4942b9251205898ea9864eeea1b

Observation b18659d4-0c0f-47ec-8179-667ada18be07 · inbound

Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation cites this paper.

Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:50:59.063251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T16:27:25.150807Z digest=sha256:e22368660930fd12b893d4614cf316bbfe1db6fb53ca3da8fee936d886bbbdb4

Observation e3776b0c-c873-4e05-bff4-c547406dfa2d · inbound

Bridging Performance and Generalization in Reinforcement Learning for Agile Flight cites this paper.

Bridging Performance and Generalization in Reinforcement Learning for Agile Flight Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:09:52.667578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T04:33:20.981811Z digest=sha256:4b293c22fefbcb88e2b02ba89bbdc2382f0003437bfb88c338aded11f26727f7