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Paper Citation Record · LEDGER

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control

As of 14 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2505.24068.

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

pith.paper-citation-record.v1
2505.24068 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:04.533620Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:28:29.441778Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved14
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5f842a29-c810-4c2d-837b-2231951bfa0c · outbound

This paper cites Stochastic and robust mpc for bipedal locomotion: A comparative study on robustness and performance,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Stochastic and robust mpc for bipedal locomotion: A comparative study on robustness and performance,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:11.358452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:40:59.476010Z digest=sha256:bd638f13ed39575f7fc5a01e7921d48b6e1b15f92bb98e97cd3564df461d467f

Observation 167c8df0-3fbe-4ae6-af84-8af6cbe65b69 · outbound

This paper cites Adaptive-force-based control of dynamic legged locomotion over uneven terrain,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Adaptive-force-based control of dynamic legged locomotion over uneven terrain,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:11.072856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:40:59.529384Z digest=sha256:31a287a3a27cff9162aff351fc37b6cf7f2edd0dbec0851672bf9b1714089f77

Observation ecd6d434-6d81-48b0-bbf0-9518d32c2a46 · outbound

This paper cites Estimation of inertial parameters of manipulator loads and links,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Estimation of inertial parameters of manipulator loads and links,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:59.625384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:59.625384Z digest=sha256:bfa6e97910b79131de7efe6d8f5548d87759c419fced5ff500f541ca975c3db5

Observation c25582f4-811b-4639-9c89-0bdf0d21b53c · outbound

This paper cites Sim-to- real transfer of robotic control with dynamics randomization,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Sim-to- real transfer of robotic control with dynamics randomization,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:10.693762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:40:59.695246Z digest=sha256:c1ca3aa6ca7e3e02161c1270f5eec68a0ecdbf191510d0903d3347d30164efa9

Observation a354abe1-934d-4dc4-b0e4-7c116d25e5bd · outbound

This paper cites Learning Agile Robotic Locomotion Skills by Imitating Animals,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Learning Agile Robotic Locomotion Skills by Imitating Animals,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:10.386441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:40:59.823366Z digest=sha256:9fae4a7d791b84aeb54376a3b31bb2dfd12afc09e4e3d5ba429cdcb958d2705e

Observation 53b711b2-9a7f-43b1-a9b7-f4ffd9199541 · outbound

This paper cites Learning agile and dynamic motor skills for legged robots,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Learning agile and dynamic motor skills for legged robots,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:59.949186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:59.949186Z digest=sha256:c6ec0b28e0b4d8876478c3f690892bf19884351b625c61c5efb625972075cd05

Observation 5220694c-13df-4ca5-a4c7-ec0687c25367 · outbound

This paper cites Sim-to-real: Learning agile locomotion for quadruped robots,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Sim-to-real: Learning agile locomotion for quadruped robots,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:10.138815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.053506Z digest=sha256:7d7085f3fb2b6f71ea59ba66feb1b5cf7eabf7f7c69231b0f45d96f84cfad9d4

Observation 50c08c98-04cd-41b1-a114-2a025f062d36 · outbound

This paper cites Domain randomization via entropy maximization,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Domain randomization via entropy maximization,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:09.904818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.110627Z digest=sha256:080926dbcb8d46846494a8894d5e2f09ef285440d2fbaf01c15a1218e1a87c9e

Observation 884d893c-aeaf-482d-9327-8ed572bc3187 · outbound

This paper cites Learning fast adapta- tion with meta strategy optimization,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Learning fast adapta- tion with meta strategy optimization,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:00.158585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:00.158585Z digest=sha256:e834a33c45552cfa6950609b123d59e7b266dcb180ca8e81cf23a2c5c9591c20

Observation 413ca66c-de98-4e61-88db-942ff22d5e8a · outbound

This paper cites an unresolved cited work.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:41:09.732256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.241975Z digest=sha256:1324fd35c69448f7f22da60cb0333ad4c2475cde1ed452fe18cfdeb563792865

Observation 5e611605-13da-467c-8cff-b6835fe22f8a · outbound

This paper cites Hovakimyan and C.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Hovakimyan and C

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:09.617110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.339955Z digest=sha256:84534a784bd0db4c277bc7116da20b7197051bd8d49e3c0d5c722c5bd88b0190

Observation 244c942c-eff3-46ed-9f70-d889fd6b21fc · outbound

This paper cites Rma: Rapid motor adaptation for legged robots,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Rma: Rapid motor adaptation for legged robots,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:09.477594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.465149Z digest=sha256:98dfe0d8f34d9d77f42e31328ca4950972ce65f03b858a76dd75f7ad8eac9856

Observation 838aa317-3274-4a69-969e-5a2e852cc434 · outbound

This paper cites Continuous dynamic bipedal jumping via real-time variable-model optimization,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Continuous dynamic bipedal jumping via real-time variable-model optimization,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:09.338245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.577915Z digest=sha256:0771293d70a99dad520aab98c6b4355606150e753fb03e547ddbe5e9b87110da

Observation d9a86548-2fed-4619-b18b-1dc2f7438c93 · outbound

This paper cites Ogmp: Oracle guided multi-mode policies for agile and versatile robot control,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Ogmp: Oracle guided multi-mode policies for agile and versatile robot control,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:09.183751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.677710Z digest=sha256:3ef64b1d9a10be87ff76911b7cf3d208f4ad4ff3e6391464a3a4f2dee460b546

Observation 5ccc5c8c-1ec9-46e6-83a4-7f5e94614337 · outbound

This paper cites Asap: Aligning simulation and real-world physics for learning agile humanoid whole-body skills,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Asap: Aligning simulation and real-world physics for learning agile humanoid whole-body skills,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:00.778139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:00.778139Z digest=sha256:99aacb33eb9443a00ee9420c3a919057e155a8cd9bd89ba919d872a451e2ddb4

Observation 957c1b35-4fa3-4706-87d3-4d25662c966f · outbound

This paper cites Bridging the sim-to-real gap for athletic loco-manipulation,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Bridging the sim-to-real gap for athletic loco-manipulation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:09.068683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:00.886796Z digest=sha256:7c471a7db71cb23a5163f74b7f27754271ffee4579ab6c46ee66f02ffc272f3d

Observation d9ad29e4-50c4-4d44-94fb-9f055258c158 · outbound

This paper cites Learning to walk from three minutes of real-world data with semi-structured dynamics models,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Learning to walk from three minutes of real-world data with semi-structured dynamics models,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:00.965922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:00.965922Z digest=sha256:fae184933b8c6d50f405dc4376e69b232d78b485530704aef3695a405b3a59fb

Observation 3814dc1a-eae7-448c-946c-378ec5380a41 · outbound

This paper cites Auto- matic LQR tuning based on Gaussian process global optimization,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Auto- matic LQR tuning based on Gaussian process global optimization,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:08.916566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.069053Z digest=sha256:6349ccdbe85fc1de226c043f1bc06219af5d8fea71ed70ab626077bbd726c152

Observation a97240a6-b591-4c6d-812a-c1cf69872e6d · outbound

This paper cites Safe controller optimization for quadrotors with Gaussian processes,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Safe controller optimization for quadrotors with Gaussian processes,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:08.778379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.157961Z digest=sha256:b4ade588db9794ac329f6c7625e1f47675e3287599dd20b5d90ea489a2245a4c

Observation dd8e0061-62a4-45b5-9cbb-4bdcb997b41b · outbound

This paper cites Bayesian gait optimization for bipedal locomotion,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Bayesian gait optimization for bipedal locomotion,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:08.625535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.241228Z digest=sha256:2196de27160366df807504fb4a62079fdecc1071d76440e4437576366dfa193c

Observation 04b3e24b-dbcf-4b59-805c-1f45f693d4cc · outbound

This paper cites Auto- matic gait optimization with Gaussian Process Regression,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Auto- matic gait optimization with Gaussian Process Regression,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:08.465473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.371641Z digest=sha256:0cd0a8398dd80df660d64587af2946f3a6a652f1f5c8a4f5fc55f6f1e58de843

Observation afae1718-fc3c-4c9f-b08b-09ba98361d3f · outbound

This paper cites AutoTune: Controller tuning for high-speed flight,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control AutoTune: Controller tuning for high-speed flight,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:08.313390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.432828Z digest=sha256:79259343c2b07c2c3e7921a9d16856a6ce48b1b3b5125b60c37487bc13c1d0e4

Observation e66f05d2-195e-490f-9bc6-4b77326be008 · outbound

This paper cites Policy search for model predictive control with application to agile drone flight,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Policy search for model predictive control with application to agile drone flight,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:08.136739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.501131Z digest=sha256:f083139d1e26f36931a5d4dfcc0b875526161607e28436f11d57c2c77a2d589f

Observation 1803bc1e-370f-4f6b-a14d-93762424b3d2 · outbound

This paper cites Local policy search with Bayesian optimization,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Local policy search with Bayesian optimization,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:07.923802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.582968Z digest=sha256:e2a64eeda2a778c98e7f1439bb6c306242ce5b0779b520c6cbe5bab038b89642

Observation d030fb7e-2d94-4293-a604-62e96a4d3d30 · outbound

This paper cites A self- tuning LQR approach demonstrated on an inverted pendulum,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control A self- tuning LQR approach demonstrated on an inverted pendulum,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:07.795832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.698023Z digest=sha256:4473a8560a8a89ff1b5cd8fdc60c924138e182343327f130f6d2626d8b790f45

Observation b4f93a16-ceaa-4b9d-8e44-9d92fddafee3 · outbound

This paper cites DiffLoop: Tuning PID controllers by differentiating through the feedback loop,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control DiffLoop: Tuning PID controllers by differentiating through the feedback loop,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:07.659335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.793897Z digest=sha256:679eac651419c946d6f63bcb675bc85da269579e459eb88fb0869c6f7fb10f19

Observation c86c46d9-4dba-4fa5-bb6d-f63f9cead779 · outbound

This paper cites DiffTune: Autotuning through autodifferentiation,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control DiffTune: Autotuning through autodifferentiation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:07.508999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.872335Z digest=sha256:2ea55014160f5ad814bc19c0d3507689b50fd163c1ed641f4f91ac4f06ba86f7

Observation e4ecb96b-c95b-4a19-aa6d-395417e83340 · outbound

This paper cites Diff- Tune+: Hyperparameter-free auto-tuning using auto-differentiation,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Diff- Tune+: Hyperparameter-free auto-tuning using auto-differentiation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:07.333538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:01.947168Z digest=sha256:5bf6d31603a2e8ea7b8747f60ed65256556c651297b3a8caab13927f74994552

Observation 73c6b94e-3538-4848-a6b4-07a5f1073e01 · outbound

This paper cites DiffTune- MPC: Closed-loop learning for model predictive control,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control DiffTune- MPC: Closed-loop learning for model predictive control,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:07.133700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:02.030786Z digest=sha256:a1d7f96160206c96ec490ca698ff266d8d1b5c4d18e1d076398bef3358c5785f

Observation 0f957a2c-cb18-4afc-8515-aa73e7be35ab · outbound

This paper cites High-dimensional Bayesian optimization using low-dimensional feature spaces,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control High-dimensional Bayesian optimization using low-dimensional feature spaces,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:06.980105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:02.175523Z digest=sha256:7451235efe606ee7d28232afd770912157216d111753f2dde1df32df6b66bf3b

Observation e9cf0a86-7a31-4bd2-895c-01ec5cca6d34 · outbound

This paper cites L 1Quad: L1 adaptive augmentation of geometric control for agile quadrotors with performance guarantees,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control L 1Quad: L1 adaptive augmentation of geometric control for agile quadrotors with performance guarantees,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:06.842500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:02.276933Z digest=sha256:95378ff15929146c32b83d32b243c644b92d7c9b058275fa4a9f66642556f2b1

Observation 160d3af6-c900-4262-8142-eccbf905e73e · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control JAX: composable transformations of Python+NumPy programs,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:02.337898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:02.337898Z digest=sha256:0c453371156bd006d06e1853fdde6fda7ecc867564e742651debd3c94e81122e

Observation 035795da-c7a4-4e4e-b569-d3c5bc82c7c2 · outbound

This paper cites Brax - a differentiable physics engine for large scale rigid body simulation,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Brax - a differentiable physics engine for large scale rigid body simulation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:06.681344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:02.425512Z digest=sha256:fdda61554fb899c66ed1039cf3933ba1689d511030751534f90eb7b51cc715e3

Observation 810c1395-b79c-4255-9ea1-f5df968e9f9f · outbound

This paper cites Dojo: A Differentiable Physics Engine for Robotics.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Dojo: A Differentiable Physics Engine for Robotics

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:02.540734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:02.540734Z digest=sha256:2e90031e1a0fdeb1d94070df42bbb45320085d06459c3e8a8e246605e140b860

Observation 81c5fc2a-8308-4b9a-a7f2-01a04ae3c863 · outbound

This paper cites Neuralsim: Augmenting differentiable simulators with neural net- works,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Neuralsim: Augmenting differentiable simulators with neural net- works,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:06.542145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:02.630161Z digest=sha256:76ccf07dfa219e07a3a52a7b8bfc3c34dd4770226ed044cd0354b503f7b91bb9

Observation 974d9281-d23a-4bd1-965c-7145bab7fd32 · outbound

This paper cites Differentiable simulation for physical system identification,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Differentiable simulation for physical system identification,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:02.705488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:02.705488Z digest=sha256:e7b39720d183706db48f3630fc31930b5913784f2a095d22eae6b54f588351b3

Observation 006c5433-159d-47c9-a14b-8b4d56ea4ac7 · outbound

This paper cites gradsim: Differentiable simulation for system identification and visuomotor control,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control gradsim: Differentiable simulation for system identification and visuomotor control,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:06.397394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:02.793435Z digest=sha256:ece27088483f5f18fbbe1c1cc8fd0a47d3a5d851fdf312b6b9f986a63f1737b2

Observation 62ee5c2d-237b-40d7-a9b6-d5babfa0e47a · outbound

This paper cites Learning quadruped locomotion using differentiable simulation,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Learning quadruped locomotion using differentiable simulation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:06.257391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:02.909626Z digest=sha256:328fe6301f49734e9cbb04ecf9b1e0cce5d1e62d19f316801dabb2638cd705fe

Observation 79177a09-3406-41d3-b18a-637343ff9981 · outbound

This paper cites Residual policy learning for perceptive quadruped control using differentiable simulation,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Residual policy learning for perceptive quadruped control using differentiable simulation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:06.096491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:03.039442Z digest=sha256:7ab1f6abc2374084fb58605ea105655ce1050fe1bd823cf981787b29e90eaff6

Observation 4652251b-be4f-445e-9f99-793927af51e6 · outbound

This paper cites Training efficient controllers via analytic policy gradient,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Training efficient controllers via analytic policy gradient,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:05.944995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:03.137337Z digest=sha256:1607a6298b6c3dece183fab8e910ede0913878ebd2a49be06822ae6f1e3c3910

Observation 36527705-9e1e-4418-baff-2e4abf389849 · outbound

This paper cites Some notes on alternating opti- mization,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Some notes on alternating opti- mization,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:05.783846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:03.265881Z digest=sha256:114565eb2e6de6a74de4b2aac7c7326037a74959ad0f9ee9798a6905fc6c560e

Observation c0015081-39cd-4dcd-85c1-42f1761636b8 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Adam: A method for stochastic optimiza- tion,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:03.399850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:03.399850Z digest=sha256:6d3611cd07ab259536726b076bada980cc42e8a0c307937c3b07ca986fb93e03

Observation 481e3986-7d8d-490b-a60d-c7d61e4e6a92 · outbound

This paper cites Mujoco: A physics engine for model-based control,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Mujoco: A physics engine for model-based control,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:03.531853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:03.531853Z digest=sha256:2506ca2f251d2f1e6100ef046429c92d0aef4fa701e625142a8a7a7dcce0440e

Observation 382dc173-a93a-4e46-aefe-3cc706dbafb5 · outbound

This paper cites Flax: A neural network library and ecosystem for JAX,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Flax: A neural network library and ecosystem for JAX,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:03.651408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:03.651408Z digest=sha256:45984438fe1ab30496835ea326be525f6582d6377e2d027c7df0d3675bc3bfeb

Observation 5042b783-c80c-44b9-9879-cb314956bed8 · outbound

This paper cites The DeepMind JAX Ecosystem,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control The DeepMind JAX Ecosystem,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:05.599353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:03.759352Z digest=sha256:44bc67ccd6fb51e5664b0e441605d3f9e768731e5a59d005bb4f1790b70b4642

Observation 87249822-13f1-4b79-8e80-f647fb191ee4 · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Orbit: A unified simulation framework for interactive robot learning environments,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:03.865794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:03.865794Z digest=sha256:4e8119ecf97f4f18cfa85d7890b0db6bfae6dbfc855accdd25b6162c129993d9

Observation ae2a362e-5e5f-4351-a9e0-c4c0357877cb · outbound

This paper cites Physx sdk.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Physx sdk

Reference 47

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T12:41:05.449217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:03.991055Z digest=sha256:d1f99900df19577a1638a28c2be0c12bebf0d5eaa29e5e8dda745b6bf6fa4b36

Observation 10fdf784-36ef-4e4b-bdb8-31cfef6b21ca · outbound

This paper cites Barkour: Benchmarking animal-level agility with quadruped robots,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Barkour: Benchmarking animal-level agility with quadruped robots,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:05.253875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:04.123993Z digest=sha256:b902a8284382b8e87e9cc341b4be98d2f912187f86716acb8a7dabc35888a84d

Observation c54cea13-1808-42fd-9e3a-98450f9e5c03 · outbound

This paper cites Pybullet, a python module for physics simulation for games, robotics and machine learning.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Pybullet, a python module for physics simulation for games, robotics and machine learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:05.071739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:04.174148Z digest=sha256:d7bfbc45940f35bb5c85a92066d9d8402322afa406c71a1b7e5d484cc39e8fab

Observation 6e966bc3-fa9a-47c6-b2d3-ba7cd4dfb52e · outbound

This paper cites Force-and-moment-based model predictive control for achieving highly dynamic locomotion on bipedal robots,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Force-and-moment-based model predictive control for achieving highly dynamic locomotion on bipedal robots,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:04.920701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:04.279340Z digest=sha256:71cfdac9d9c46543942d75ba90fbe567aa37fc71bfc9e8d782d5a3ba744fee0c

Observation a94d8511-09f1-4fa8-a831-b690b541a966 · outbound

This paper cites Efficient and Modular Implicit Differentiation.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Efficient and Modular Implicit Differentiation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:04.408015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:04.408015Z digest=sha256:e6e54beb2727574b9cf1636baf9a753f787fdd30b118b98c42ea3aae883e4c1c

Observation 3221028b-30fb-49b0-8186-35f2dccf8ef2 · outbound

This paper cites Dynamic loco- manipulation on hector: Humanoid for enhanced control and open- source research,.

DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control Dynamic loco- manipulation on hector: Humanoid for enhanced control and open- source research,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:04.758740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:41:04.533620Z digest=sha256:6effcd198307513d2b076497315e483dbbced092d3bafb32f13907ea21bc6f19

Pith citing papers

Observation 7d17d3cf-2cdb-4761-91ce-decac4fa46fa · inbound

FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control cites this paper.

FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T01:34:09.914180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-30T01:28:29.441778Z digest=sha256:d7fc3ef509330e7fe1c3ca6768e3eeab9de25895e2afd7470153c131c7095d7c